#html #cheatsheet #fieldservices #git #professionalservices #training

https://github.com/github/training-kit

#javascript #annotation #annotation_tool #coco #computer_vision #create #image #labelling #machine_learning #ml #model #object_detection #tensorflow #training_data #vgg #vision #yolo

https://github.com/OvidijusParsiunas/myvision

#python #ansible #cisco #cisco_ios #juniper_networks #networking #rhel #training #vyos

https://github.com/ansible/workshops

#python #ai #collaboration #data_pipelines #data_science #data_scientists #data_version_control #dataset #dataset_management #datasets #deep_learning #developer_tools #distributed #hacktoberfest #machine_learning #ml #mlops #pytorch #tensorflow #training

https://github.com/activeloopai/Hub

#cuda #training #inference #transformer #bart #beam_search #sampling #bert #multilingual_nmt #gpt_2 #diverse_decoding

https://github.com/bytedance/lightseq

#c_lang #assembler #assembly #blue_team #cplusplus #cpp #cyber #cyber_threat_intelligence #cybersecurity #hack #hacking #ida #ida_pro #idapro #microsoft_windows #reverse_engineering #training #training_material #training_materials #win32api #windows

https://github.com/mytechnotalent/Hacking-Windows

#python #graphcore #habana #inference #intel #onnx #onnxruntime #optimization #pytorch #quantization #tflite #training #transformers

https://github.com/huggingface/optimum

#cplusplus #classroom #cplusplus #database #education #hackertoberfest #learn_to_database #mini_database #training

MiniOB is a database learning project designed for beginners. It was developed by the OceanBase team and several universities to help students, database professionals, and enthusiasts learn database fundamentals. The project is simple and easy to understand, with step-by-step exercises that start from the basics and go deep into database internals. It simplifies complex features like concurrency and security to focus on the core principles of databases. This helps users master database kernel modules, memory management, network communication, and disk I/O handling, which are valuable skills for future interviews and jobs. Additionally, MiniOB provides detailed documentation, video tutorials, and an online development platform to make learning easier.

https://github.com/oceanbase/miniob

#jupyter_notebook #aws #data_science #deep_learning #examples #inference #jupyter_notebook #machine_learning #mlops #reinforcement_learning #sagemaker #training

SageMaker-Core is a new Python SDK for Amazon SageMaker that makes it easier to work with machine learning resources. It provides an object-oriented interface, which means you can manage resources like training jobs, models, and endpoints more intuitively. The SDK simplifies code by allowing resource chaining, eliminating the need to manually specify parameters. It also includes features like auto code completion, comprehensive documentation, and type hints, making it faster and less error-prone to write code. This helps developers customize their ML workloads more efficiently and streamline their development process.

https://github.com/aws/amazon-sagemaker-examples

#rust #android #classroom #course #google #guide #rust #training #training_materials

This course, called Comprehensive Rust, is a detailed guide to learning Rust programming language. It covers everything from basic syntax to advanced topics like generics, error handling, and concurrency. The course also includes sections on Android, Chromium, and bare-metal programming. It was developed by Google's Android team for experienced software engineers and is best used in a classroom setting, though it can be useful for teams looking to teach Rust. The benefit to you is that you can learn Rust thoroughly with comprehensive resources and examples, making it easier to master the language. You can access the course online and even contribute to its development if you wish.

https://github.com/google/comprehensive-rust