#java
The Model Context Protocol (MCP) Java SDK helps developers connect AI models with tools and data sources using a standardized interface. It supports both synchronous and asynchronous communication, making it flexible for different applications. The SDK includes features like tool management, logging, and multiple transport options, which simplify interactions between AI systems and external tools. This benefits users by providing a consistent way to integrate AI with various data sources, reducing the complexity of managing multiple connectors for different tools.
https://github.com/modelcontextprotocol/java-sdk
The Model Context Protocol (MCP) Java SDK helps developers connect AI models with tools and data sources using a standardized interface. It supports both synchronous and asynchronous communication, making it flexible for different applications. The SDK includes features like tool management, logging, and multiple transport options, which simplify interactions between AI systems and external tools. This benefits users by providing a consistent way to integrate AI with various data sources, reducing the complexity of managing multiple connectors for different tools.
https://github.com/modelcontextprotocol/java-sdk
GitHub
GitHub - modelcontextprotocol/java-sdk: The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration…
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI - modelcontextprotocol/java-sdk
#python
Kronos is an open-source AI model specially made to understand and predict financial market data called K-lines (candlestick charts) from over 45 global exchanges. It uses a unique method to turn complex market data into simpler tokens, then learns patterns with a powerful Transformer model. This helps Kronos forecast prices, volatility, and generate realistic synthetic data better than previous models. You can easily use Kronos to make forecasts with just a few lines of code, and it supports batch predictions for multiple assets. It also allows fine-tuning on your own data to improve accuracy for your specific market needs, making it a valuable tool for financial analysis and trading strategies.
https://github.com/shiyu-coder/Kronos
Kronos is an open-source AI model specially made to understand and predict financial market data called K-lines (candlestick charts) from over 45 global exchanges. It uses a unique method to turn complex market data into simpler tokens, then learns patterns with a powerful Transformer model. This helps Kronos forecast prices, volatility, and generate realistic synthetic data better than previous models. You can easily use Kronos to make forecasts with just a few lines of code, and it supports batch predictions for multiple assets. It also allows fine-tuning on your own data to improve accuracy for your specific market needs, making it a valuable tool for financial analysis and trading strategies.
https://github.com/shiyu-coder/Kronos
GitHub
GitHub - shiyu-coder/Kronos: Kronos: A Foundation Model for the Language of Financial Markets
Kronos: A Foundation Model for the Language of Financial Markets - shiyu-coder/Kronos
#vue #chatbot #macos #rust #tauri #tsx #vue3 #webview #windows #windows_10 #windows_11
HuLa is a modern, open-source instant messaging app built with Tauri, Vite 7, Vue 3, and TypeScript, which means it’s fast, secure, and works smoothly across Windows, macOS, Linux, iOS, and Android[1]. It offers all the features you expect from a messaging app—private and group chats, message recall, read receipts, emojis, file sharing, and even AI chatbot integration—plus extras like dark/light themes, customizable skins, and system tray notifications. Because it’s open source, you can trust its transparency and even contribute to its development. The main benefit is having a lightweight, cross-platform messaging tool that’s both easy to use and highly customizable for your personal or team communication needs.
https://github.com/HuLaSpark/HuLa
HuLa is a modern, open-source instant messaging app built with Tauri, Vite 7, Vue 3, and TypeScript, which means it’s fast, secure, and works smoothly across Windows, macOS, Linux, iOS, and Android[1]. It offers all the features you expect from a messaging app—private and group chats, message recall, read receipts, emojis, file sharing, and even AI chatbot integration—plus extras like dark/light themes, customizable skins, and system tray notifications. Because it’s open source, you can trust its transparency and even contribute to its development. The main benefit is having a lightweight, cross-platform messaging tool that’s both easy to use and highly customizable for your personal or team communication needs.
https://github.com/HuLaSpark/HuLa
GitHub
GitHub - HuLaSpark/HuLa: 🍀 A cross-platform instant messaging desktop application with exceptional performance built on Rust +…
🍀 A cross-platform instant messaging desktop application with exceptional performance built on Rust + Vue3, compatible with Windows, macOS, Linux, Android, and iOS(一款基于Rust+Vue3极致性能的跨平台即时通讯桌面应用,兼容W...
#other #cti #cyberhunter #darkweb #deepweb #threat_intelligence
deepdarkCTI is a free project that collects and shares cyber threat intelligence (CTI) from the deep and dark web, helping you stay aware of hidden cyber threats like stolen data, ransomware, and hacker activities. It gathers information from places like Telegram, Discord, hacker forums, and ransomware sites to provide useful indicators and patterns of cyber attacks. You can join their Telegram group to discuss and suggest new sources or support the project with donations. Using deepdarkCTI helps you detect threats early, improve your cybersecurity decisions, and protect your organization from cyber attacks more effectively.
https://github.com/fastfire/deepdarkCTI
deepdarkCTI is a free project that collects and shares cyber threat intelligence (CTI) from the deep and dark web, helping you stay aware of hidden cyber threats like stolen data, ransomware, and hacker activities. It gathers information from places like Telegram, Discord, hacker forums, and ransomware sites to provide useful indicators and patterns of cyber attacks. You can join their Telegram group to discuss and suggest new sources or support the project with donations. Using deepdarkCTI helps you detect threats early, improve your cybersecurity decisions, and protect your organization from cyber attacks more effectively.
https://github.com/fastfire/deepdarkCTI
GitHub
GitHub - fastfire/deepdarkCTI: Collection of Cyber Threat Intelligence sources from the deep and dark web
Collection of Cyber Threat Intelligence sources from the deep and dark web - fastfire/deepdarkCTI
#typescript #agent #ai #ai_assistant #ai_chat #chat #chatbot #chatgpt #claude #cross_platform #deepseek #gemini #llm_client #mcp #mcp_client #openai_client #tool_calling
DeepChat is a powerful open-source AI chat platform that supports many large language models like OpenAI and Ollama. It offers features such as unified model management, local model integration, advanced tool calling, and enhanced search capabilities. DeepChat is privacy-focused, allowing local data storage and network proxy support. It's suitable for both personal and business use, supporting multiple platforms like Windows, macOS, and Linux. Users benefit from its flexibility, customization options, and privacy protection, making it a versatile tool for various AI applications.
https://github.com/ThinkInAIXYZ/deepchat
DeepChat is a powerful open-source AI chat platform that supports many large language models like OpenAI and Ollama. It offers features such as unified model management, local model integration, advanced tool calling, and enhanced search capabilities. DeepChat is privacy-focused, allowing local data storage and network proxy support. It's suitable for both personal and business use, supporting multiple platforms like Windows, macOS, and Linux. Users benefit from its flexibility, customization options, and privacy protection, making it a versatile tool for various AI applications.
https://github.com/ThinkInAIXYZ/deepchat
GitHub
GitHub - ThinkInAIXYZ/deepchat: 🐬DeepChat - A smart assistant that connects powerful AI to your personal world
🐬DeepChat - A smart assistant that connects powerful AI to your personal world - ThinkInAIXYZ/deepchat
#typescript #chatgpt #hacktoberfest #huggingface #llm #svelte #svelte_kit #sveltekit #tailwindcss #typescript
Chat UI is an open-source chat interface built with SvelteKit that lets you easily connect to different AI language models using any service that works with the OpenAI API format, such as Hugging Face, llama.cpp, Ollama, or OpenRouter[5]. You can quickly set it up on your computer by cloning the project, setting a few environment variables (like your API key and database connection), and running simple commands to start the app—no need to be an expert[5]. The main benefit is that you get a modern, customizable chat app that works with many AI models, making it simple to experiment, build, and share your own AI-powered chat experiences without starting from scratch.
https://github.com/huggingface/chat-ui
Chat UI is an open-source chat interface built with SvelteKit that lets you easily connect to different AI language models using any service that works with the OpenAI API format, such as Hugging Face, llama.cpp, Ollama, or OpenRouter[5]. You can quickly set it up on your computer by cloning the project, setting a few environment variables (like your API key and database connection), and running simple commands to start the app—no need to be an expert[5]. The main benefit is that you get a modern, customizable chat app that works with many AI models, making it simple to experiment, build, and share your own AI-powered chat experiences without starting from scratch.
https://github.com/huggingface/chat-ui
GitHub
GitHub - huggingface/chat-ui: Open source codebase powering the HuggingChat app
Open source codebase powering the HuggingChat app. Contribute to huggingface/chat-ui development by creating an account on GitHub.
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#python #text_to_speech #tts #voice_clone #zero_shot_tts
OpenVoice is a free, open-source tool that lets you clone any voice using just a short audio sample, then generate speech in that voice across many languages and accents[1][5][8]. You can fine-tune how the voice sounds—adjusting emotion, accent, rhythm, pauses, and intonation—to match your needs[1][3][5]. A major benefit is “zero-shot” cloning: you can make the cloned voice speak languages it was never trained on, which is rare in voice AI[1][3][4]. The latest version, OpenVoice V2, offers even better sound quality, supports six major languages natively, and is free for both personal and commercial use[1]. This makes it easy and affordable for anyone to create realistic, customizable voice content without needing technical expertise or expensive software.
https://github.com/myshell-ai/OpenVoice
OpenVoice is a free, open-source tool that lets you clone any voice using just a short audio sample, then generate speech in that voice across many languages and accents[1][5][8]. You can fine-tune how the voice sounds—adjusting emotion, accent, rhythm, pauses, and intonation—to match your needs[1][3][5]. A major benefit is “zero-shot” cloning: you can make the cloned voice speak languages it was never trained on, which is rare in voice AI[1][3][4]. The latest version, OpenVoice V2, offers even better sound quality, supports six major languages natively, and is free for both personal and commercial use[1]. This makes it easy and affordable for anyone to create realistic, customizable voice content without needing technical expertise or expensive software.
https://github.com/myshell-ai/OpenVoice
GitHub
GitHub - myshell-ai/OpenVoice: Instant voice cloning by MIT and MyShell. Audio foundation model.
Instant voice cloning by MIT and MyShell. Audio foundation model. - myshell-ai/OpenVoice
#rust #dataflow #rust #static_analysis #vscode
Flowistry is a tool for Rust programming that helps you focus on the parts of code relevant to your current task by analyzing how data flows within functions. When you select a variable or expression, it fades out unrelated code, making it easier to understand complex functions and see what affects or is affected by that code. It works as a VSCode plugin and uses Rust’s ownership system to provide precise analysis. This helps you read, debug, and modify Rust code more efficiently by reducing distractions and highlighting important dependencies. However, it has some limitations with certain Rust features like interior mutability and nested functions.
https://github.com/willcrichton/flowistry
Flowistry is a tool for Rust programming that helps you focus on the parts of code relevant to your current task by analyzing how data flows within functions. When you select a variable or expression, it fades out unrelated code, making it easier to understand complex functions and see what affects or is affected by that code. It works as a VSCode plugin and uses Rust’s ownership system to provide precise analysis. This helps you read, debug, and modify Rust code more efficiently by reducing distractions and highlighting important dependencies. However, it has some limitations with certain Rust features like interior mutability and nested functions.
https://github.com/willcrichton/flowistry
GitHub
GitHub - willcrichton/flowistry: Flowistry is an IDE plugin for Rust that helps you focus on relevant code.
Flowistry is an IDE plugin for Rust that helps you focus on relevant code. - willcrichton/flowistry
#python #artificial_intelligence #cloud_ml #computer_systems #courseware #deep_learning #edge_machine_learning #embedded_ml #machine_learning #machine_learning_systems #mobile_ml #textbook #tinyml
You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering.
https://github.com/harvard-edge/cs249r_book
You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering.
https://github.com/harvard-edge/cs249r_book
GitHub
GitHub - harvard-edge/cs249r_book: Introduction to Machine Learning Systems
Introduction to Machine Learning Systems. Contribute to harvard-edge/cs249r_book development by creating an account on GitHub.
#python #awesome #awesome_list #lecture_notes #list #mathematics
You can access a huge, well-organized collection of free math resources covering all levels and topics, from basic arithmetic to advanced university subjects like algebra, calculus, and topology. It includes online courses, textbooks, lecture notes, videos, tools, and problem-solving sites. This helps you learn math step-by-step, find explanations, practice problems, and explore specialized areas easily. Using these resources can improve your understanding, support self-study, and provide tools for teachers and students to engage with math effectively. Many resources are interactive and free, making math learning accessible and flexible.
https://github.com/rossant/awesome-math
You can access a huge, well-organized collection of free math resources covering all levels and topics, from basic arithmetic to advanced university subjects like algebra, calculus, and topology. It includes online courses, textbooks, lecture notes, videos, tools, and problem-solving sites. This helps you learn math step-by-step, find explanations, practice problems, and explore specialized areas easily. Using these resources can improve your understanding, support self-study, and provide tools for teachers and students to engage with math effectively. Many resources are interactive and free, making math learning accessible and flexible.
https://github.com/rossant/awesome-math
GitHub
GitHub - rossant/awesome-math: A curated list of awesome mathematics resources
A curated list of awesome mathematics resources. Contribute to rossant/awesome-math development by creating an account on GitHub.
#python #blind_watermark #image_processing #watermark #watermark_image
You can add invisible watermarks to images using a Python tool based on DWT-DCT-SVD techniques, which hides your watermark securely without changing the image's appearance. This watermark can be embedded and later extracted even if the image is rotated, cropped, resized, or altered by noise or brightness changes. You can use it easily via command line or Python code, protecting your images from unauthorized use while keeping them visually unchanged. This helps prove ownership and maintain image authenticity without affecting quality or usability. The tool supports embedding text, images, or bit arrays as watermarks and works on Windows, Linux, and macOS.
https://github.com/guofei9987/blind_watermark
You can add invisible watermarks to images using a Python tool based on DWT-DCT-SVD techniques, which hides your watermark securely without changing the image's appearance. This watermark can be embedded and later extracted even if the image is rotated, cropped, resized, or altered by noise or brightness changes. You can use it easily via command line or Python code, protecting your images from unauthorized use while keeping them visually unchanged. This helps prove ownership and maintain image authenticity without affecting quality or usability. The tool supports embedding text, images, or bit arrays as watermarks and works on Windows, Linux, and macOS.
https://github.com/guofei9987/blind_watermark
GitHub
GitHub - guofei9987/blind_watermark: Blind&Invisible Watermark ,图片盲水印,提取水印无须原图!
Blind&Invisible Watermark ,图片盲水印,提取水印无须原图!. Contribute to guofei9987/blind_watermark development by creating an account on GitHub.
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#python #ant_colony_algorithm #artificial_intelligence #fish_swarms #genetic_algorithm #heuristic_algorithms #immune #immune_algorithm #optimization #particle_swarm_optimization #pso #simulated_annealing #travelling_salesman_problem #tsp
You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself.
https://github.com/guofei9987/scikit-opt
You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself.
https://github.com/guofei9987/scikit-opt
GitHub
GitHub - guofei9987/scikit-opt: Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm…
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa...
#python
torchforge is a PyTorch-based library designed to simplify reinforcement learning (RL) by separating algorithm design from infrastructure management. It offers clear RL building blocks that let you focus on creating and modifying RL algorithms without worrying about complex system details like resource handling or communication. It supports rapid research, easy customization, and scalable training across many GPUs. Although still experimental, it helps you run RL experiments more efficiently and flexibly, especially if you want to scale up or control training processes finely. This saves you time and effort, letting you concentrate on improving your RL models. Installation requires PyTorch 2.9.0 and related tools, with tutorials coming soon.
https://github.com/meta-pytorch/torchforge
torchforge is a PyTorch-based library designed to simplify reinforcement learning (RL) by separating algorithm design from infrastructure management. It offers clear RL building blocks that let you focus on creating and modifying RL algorithms without worrying about complex system details like resource handling or communication. It supports rapid research, easy customization, and scalable training across many GPUs. Although still experimental, it helps you run RL experiments more efficiently and flexibly, especially if you want to scale up or control training processes finely. This saves you time and effort, letting you concentrate on improving your RL models. Installation requires PyTorch 2.9.0 and related tools, with tutorials coming soon.
https://github.com/meta-pytorch/torchforge
GitHub
GitHub - meta-pytorch/torchforge: PyTorch-native post-training at scale
PyTorch-native post-training at scale. Contribute to meta-pytorch/torchforge development by creating an account on GitHub.
#python #airtable #airtable_alternative #airtable_replacement #application_builder #automations #dashboards #database #low_code #no_code #no_code_database #no_code_platform #online_database #postgresql #restful_api #self_hosted #spreadsheet
Baserow is a powerful, open-source tool that lets you build databases and applications without coding. It offers full control over your data and environment, allowing self-hosting and customization. Unlike Airtable, Baserow doesn't limit your data storage or API calls, making it ideal for large projects. It combines the ease of a spreadsheet with advanced data management features, including dashboards and automation tools. This gives users complete ownership of their data and avoids vendor lock-in, making it a great choice for businesses needing flexibility and scalability.
https://github.com/baserow/baserow
Baserow is a powerful, open-source tool that lets you build databases and applications without coding. It offers full control over your data and environment, allowing self-hosting and customization. Unlike Airtable, Baserow doesn't limit your data storage or API calls, making it ideal for large projects. It combines the ease of a spreadsheet with advanced data management features, including dashboards and automation tools. This gives users complete ownership of their data and avoids vendor lock-in, making it a great choice for businesses needing flexibility and scalability.
https://github.com/baserow/baserow
GitHub
GitHub - baserow/baserow: Build databases, automations, apps & agents with AI — no code. Open source platform available on cloud…
Build databases, automations, apps & agents with AI — no code. Open source platform available on cloud and self-hosted. GDPR, HIPAA, SOC 2 compliant. Best Airtable alternative. - baserow/baserow
#python
NVIDIA Isaac Sim is a powerful simulation platform that helps you develop, test, and train AI-powered robots in realistic virtual environments using high-quality physics and graphics. It supports importing robot models, simulates accurate robot movements and sensors like cameras and LiDAR, and integrates with tools like ROS for robotics control. You can generate synthetic data, run reinforcement learning, and create digital twins to test robots before real-world deployment. This saves time and cost by allowing you to experiment and improve robot designs safely and efficiently in a virtual space, speeding up development and increasing success in real applications.
https://github.com/isaac-sim/IsaacSim
NVIDIA Isaac Sim is a powerful simulation platform that helps you develop, test, and train AI-powered robots in realistic virtual environments using high-quality physics and graphics. It supports importing robot models, simulates accurate robot movements and sensors like cameras and LiDAR, and integrates with tools like ROS for robotics control. You can generate synthetic data, run reinforcement learning, and create digital twins to test robots before real-world deployment. This saves time and cost by allowing you to experiment and improve robot designs safely and efficiently in a virtual space, speeding up development and increasing success in real applications.
https://github.com/isaac-sim/IsaacSim
GitHub
GitHub - isaac-sim/IsaacSim: NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and…
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments. - isaac-sim/IsaacSim
❤1
#go #blob_storage #cloud_drive #distributed_file_system #distributed_storage #distributed_systems #erasure_coding #fuse #hadoop_hdfs #hdfs #kubernetes #object_storage #posix #replication #s3 #s3_storage #seaweedfs #tiered_file_system
SeaweedFS is a fast, simple, and highly scalable distributed file system designed to store billions of files and serve them quickly, especially small files. It uses a master server to manage volumes on volume servers, which handle file data and metadata, enabling very fast file access with minimal disk reads. It supports features like replication, erasure coding, cloud integration for elastic storage, and compatibility with many metadata stores and APIs including Amazon S3. This means you get efficient, cost-effective storage with fast access, easy scaling, and flexible deployment options for large-scale file storage needs.
https://github.com/seaweedfs/seaweedfs
SeaweedFS is a fast, simple, and highly scalable distributed file system designed to store billions of files and serve them quickly, especially small files. It uses a master server to manage volumes on volume servers, which handle file data and metadata, enabling very fast file access with minimal disk reads. It supports features like replication, erasure coding, cloud integration for elastic storage, and compatibility with many metadata stores and APIs including Amazon S3. This means you get efficient, cost-effective storage with fast access, easy scaling, and flexible deployment options for large-scale file storage needs.
https://github.com/seaweedfs/seaweedfs
GitHub
GitHub - seaweedfs/seaweedfs: SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions…
SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, xDC replica...
#cmake #audio #ios #linux #macos #plugins #sdk #vst3 #win32
VST 3 is an improved version of the VST audio plug-in interface. It offers several benefits, including better performance by only processing audio when needed, dynamic input/output configurations, and precise automation. Users can also enjoy a more organized interface and support for advanced audio features like 3D sound. These improvements make it easier for developers to create plugins and for users to work with them in digital audio workstations (DAWs), enhancing overall audio production efficiency.
https://github.com/steinbergmedia/vst3sdk
VST 3 is an improved version of the VST audio plug-in interface. It offers several benefits, including better performance by only processing audio when needed, dynamic input/output configurations, and precise automation. Users can also enjoy a more organized interface and support for advanced audio features like 3D sound. These improvements make it easier for developers to create plugins and for users to work with them in digital audio workstations (DAWs), enhancing overall audio production efficiency.
https://github.com/steinbergmedia/vst3sdk
GitHub
GitHub - steinbergmedia/vst3sdk: VST 3 Plug-In SDK
VST 3 Plug-In SDK. Contribute to steinbergmedia/vst3sdk development by creating an account on GitHub.
#java #awesome #backend #computer_science #distributed_systems #high_level_design #hld #interview #interview_questions #scalability #system_design
You can learn important system design concepts for free, covering topics like scalability, availability, CAP theorem, caching, databases, APIs, microservices, and distributed systems. This resource offers clear explanations, interview preparation guides, and practical design problems from easy to hard, helping you understand how to build reliable, scalable software systems. It also provides links to courses, books, newsletters, and videos to deepen your knowledge. Using these materials can improve your skills for system design interviews and real-world software architecture, making you more confident and effective in designing complex systems.
https://github.com/ashishps1/awesome-system-design-resources
You can learn important system design concepts for free, covering topics like scalability, availability, CAP theorem, caching, databases, APIs, microservices, and distributed systems. This resource offers clear explanations, interview preparation guides, and practical design problems from easy to hard, helping you understand how to build reliable, scalable software systems. It also provides links to courses, books, newsletters, and videos to deepen your knowledge. Using these materials can improve your skills for system design interviews and real-world software architecture, making you more confident and effective in designing complex systems.
https://github.com/ashishps1/awesome-system-design-resources
GitHub
GitHub - ashishps1/awesome-system-design-resources: Learn System Design concepts and prepare for interviews using free resources.
Learn System Design concepts and prepare for interviews using free resources. - ashishps1/awesome-system-design-resources
#html #ech #fail2ban #http #mixed #ml_dsa_65 #ml_kem_768 #post_quantum #reality #shadowsocks #shadowsocks2022 #tls #trojan #tunnel #vless #vmess #wireguard #x25519 #xtls_rprx_vision #xtls_rprx_vision_udp443
3X-UI is an easy-to-use, open-source web control panel for managing Xray-core VPN servers. It supports many VPN protocols like VMess, VLESS, Shadowsocks, Trojan, and WireGuard, letting you configure, monitor traffic, manage users, and set limits through a simple web interface. It includes features like automatic SSL certificates, traffic statistics, multi-user support, and security options such as firewall rules and IP bans. This makes managing VPN servers faster, more secure, and accessible even if you are not an expert, helping you control your VPN setup efficiently and safely.
https://github.com/MHSanaei/3x-ui
3X-UI is an easy-to-use, open-source web control panel for managing Xray-core VPN servers. It supports many VPN protocols like VMess, VLESS, Shadowsocks, Trojan, and WireGuard, letting you configure, monitor traffic, manage users, and set limits through a simple web interface. It includes features like automatic SSL certificates, traffic statistics, multi-user support, and security options such as firewall rules and IP bans. This makes managing VPN servers faster, more secure, and accessible even if you are not an expert, helping you control your VPN setup efficiently and safely.
https://github.com/MHSanaei/3x-ui
GitHub
GitHub - MHSanaei/3x-ui: Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess, Vless, Trojan…
Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess, Vless, Trojan, ShadowSocks, Wireguard, Tunnel, Mixed, HTTP) - GitHub - MHSanaei/3x-ui: Xray ...
#python #agent #agentic_ai #llm #mlops #reinforcement_learning
Agent Lightning is a tool that helps improve AI agents using reinforcement learning. It allows you to train your agents without making big changes to their code, which is very convenient. You can use it with many different frameworks like LangChain or OpenAI Agent SDK. It also supports various training methods, including reinforcement learning and automatic prompt optimization. This means you can make your agents better at their tasks without a lot of extra work.
https://github.com/microsoft/agent-lightning
Agent Lightning is a tool that helps improve AI agents using reinforcement learning. It allows you to train your agents without making big changes to their code, which is very convenient. You can use it with many different frameworks like LangChain or OpenAI Agent SDK. It also supports various training methods, including reinforcement learning and automatic prompt optimization. This means you can make your agents better at their tasks without a lot of extra work.
https://github.com/microsoft/agent-lightning
GitHub
GitHub - microsoft/agent-lightning: The absolute trainer to light up AI agents.
The absolute trainer to light up AI agents. Contribute to microsoft/agent-lightning development by creating an account on GitHub.
#python
This AWS DevOps course helps you learn AWS in 30 days. Each day focuses on a different topic, like setting up AWS accounts, using IAM for security, and working with EC2 instances. You'll also learn about networking, security, and how to deploy applications. The course includes projects, such as setting up a secure VPC and deploying a web application. By the end, you'll have practical skills and knowledge to work with AWS in a DevOps environment, which can help you get a job in this field.
https://github.com/iam-veeramalla/aws-devops-zero-to-hero
This AWS DevOps course helps you learn AWS in 30 days. Each day focuses on a different topic, like setting up AWS accounts, using IAM for security, and working with EC2 instances. You'll also learn about networking, security, and how to deploy applications. The course includes projects, such as setting up a secure VPC and deploying a web application. By the end, you'll have practical skills and knowledge to work with AWS in a DevOps environment, which can help you get a job in this field.
https://github.com/iam-veeramalla/aws-devops-zero-to-hero
GitHub
GitHub - iam-veeramalla/aws-devops-zero-to-hero: AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo…
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples. - iam-veeramalla/aws-devops-zero-to-hero