#c_lang #administrator #benchmarking #c #debugger #monitor #monitor_performance #monitoring #performance #performance_monitoring #performance_tuning #process_manager #process_monitor #processhacker #profiling #realtime #security #system_monitor #windows
https://github.com/processhacker/processhacker
https://github.com/processhacker/processhacker
GitHub
GitHub - winsiderss/systeminformer: A free, powerful, multi-purpose tool that helps you monitor system resources, debug software…
A free, powerful, multi-purpose tool that helps you monitor system resources, debug software and detect malware. Brought to you by Winsider Seminars & Solutions, Inc. @ http://www.windows-i...
#cplusplus #analytics #big_data #database #distributed #olap #realtime_database #sql #vectorized
https://github.com/StarRocks/starrocks
https://github.com/StarRocks/starrocks
GitHub
GitHub - StarRocks/starrocks: The world's fastest open query engine for sub-second analytics both on and off the data lakehouse.…
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class perf...
#cuda #3d_reconstruction #computer_graphics #computer_vision #function_approximation #machine_learning #nerf #neural_network #real_time #real_time_rendering #realtime #signed_distance_functions
https://github.com/NVlabs/instant-ngp
https://github.com/NVlabs/instant-ngp
GitHub
GitHub - NVlabs/instant-ngp: Instant neural graphics primitives: lightning fast NeRF and more
Instant neural graphics primitives: lightning fast NeRF and more - NVlabs/instant-ngp
#javascript #collaboration #collaborative_editing #crdt #decentralized #offline_first #p2p #peer_to_peer #realtime #shared_editing #yjs
https://github.com/yjs/yjs
https://github.com/yjs/yjs
GitHub
GitHub - yjs/yjs: Shared data types for building collaborative software
Shared data types for building collaborative software - yjs/yjs
#rust #backend_as_a_service #cloud_database #collaborative #database #database_as_a_service #developer_tools #devtools #distributed #distributed_database #document_database #graph_database #hacktoberfest #iot_database #nosql #realtime_database #serverless #sql #surreal #surrealdb #web
https://github.com/surrealdb/surrealdb
https://github.com/surrealdb/surrealdb
GitHub
GitHub - surrealdb/surrealdb: A scalable, distributed, collaborative, document-graph database, for the realtime web
A scalable, distributed, collaborative, document-graph database, for the realtime web - surrealdb/surrealdb
#python #ai #ai_deep_fake #ai_face #ai_webcam #artificial_intelligence #deep_fake #deepfake #deepfake_webcam #faceswap #fake_webcam #real_time_deepfake #realtime_deepfake #realtime_face_changer #video_deepfake #webcam #webcamera
Deep Live Cam is a powerful tool that allows you to perform real-time face swaps and create video deepfakes with just a single click and one image. It's designed to help artists animate custom characters or use them as models for clothing, among other tasks. The software includes built-in checks to prevent processing inappropriate content and requires users to obtain consent before using someone's face.
You can easily download and use the pre-built version with CUDA support, or manually install it if you have technical skills. The tool offers features like resizable preview windows, face mapping, and various command line arguments for customization. It also supports different execution providers like CUDA, CoreML, and DirectML for optimized performance.
Using Deep Live Cam responsibly and legally is crucial; always label any output as a deepfake when sharing online. This tool simplifies complex tasks and enhances creativity, making it beneficial for artists and content creators who need advanced face swapping capabilities.
https://github.com/hacksider/Deep-Live-Cam
Deep Live Cam is a powerful tool that allows you to perform real-time face swaps and create video deepfakes with just a single click and one image. It's designed to help artists animate custom characters or use them as models for clothing, among other tasks. The software includes built-in checks to prevent processing inappropriate content and requires users to obtain consent before using someone's face.
You can easily download and use the pre-built version with CUDA support, or manually install it if you have technical skills. The tool offers features like resizable preview windows, face mapping, and various command line arguments for customization. It also supports different execution providers like CUDA, CoreML, and DirectML for optimized performance.
Using Deep Live Cam responsibly and legally is crucial; always label any output as a deepfake when sharing online. This tool simplifies complex tasks and enhances creativity, making it beneficial for artists and content creators who need advanced face swapping capabilities.
https://github.com/hacksider/Deep-Live-Cam
GitHub
GitHub - hacksider/Deep-Live-Cam: real time face swap and one-click video deepfake with only a single image
real time face swap and one-click video deepfake with only a single image - hacksider/Deep-Live-Cam
#python #deeplabv3 #image_segmentation #medical_image_segmentation #pspnet #pytorch #realtime_segmentation #retinal_vessel_segmentation #semantic_segmentation #swin_transformer #transformer #vessel_segmentation
MMSegmentation is an open-source semantic segmentation toolbox based on PyTorch, part of the OpenMMLab project. It offers a unified benchmark for various semantic segmentation methods, a modular design allowing easy customization, and support for multiple popular segmentation frameworks like PSPNet and DeepLabV3+. The toolbox is highly efficient and provides detailed tutorials, advanced guides, and support for numerous datasets and backbones. This makes it a powerful tool for researchers and developers to implement and develop new semantic segmentation methods efficiently. By using MMSegmentation, you can leverage its flexibility, extensive features, and community support to enhance your projects in image segmentation tasks.
https://github.com/open-mmlab/mmsegmentation
MMSegmentation is an open-source semantic segmentation toolbox based on PyTorch, part of the OpenMMLab project. It offers a unified benchmark for various semantic segmentation methods, a modular design allowing easy customization, and support for multiple popular segmentation frameworks like PSPNet and DeepLabV3+. The toolbox is highly efficient and provides detailed tutorials, advanced guides, and support for numerous datasets and backbones. This makes it a powerful tool for researchers and developers to implement and develop new semantic segmentation methods efficiently. By using MMSegmentation, you can leverage its flexibility, extensive features, and community support to enhance your projects in image segmentation tasks.
https://github.com/open-mmlab/mmsegmentation
GitHub
GitHub - open-mmlab/mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.
OpenMMLab Semantic Segmentation Toolbox and Benchmark. - open-mmlab/mmsegmentation
#typescript #ai #alternative #auth #database #deno #embeddings #example #firebase #nextjs #oauth2 #pgvector #postgis #postgres #postgresql #postgrest #realtime #supabase #vectors #websockets
Supabase is an open-source alternative to Firebase, built using enterprise-grade tools. It offers a hosted Postgres database, authentication and authorization, auto-generated APIs (REST, GraphQL, and realtime subscriptions), functions, file storage, and an AI toolkit. You can use it without installing anything or self-host it. Supabase supports multiple programming languages and has a strong community for support and discussions. This means you get powerful database and application features similar to Firebase but with the flexibility and transparency of open-source software, which can be more customizable and cost-effective.
https://github.com/supabase/supabase
Supabase is an open-source alternative to Firebase, built using enterprise-grade tools. It offers a hosted Postgres database, authentication and authorization, auto-generated APIs (REST, GraphQL, and realtime subscriptions), functions, file storage, and an AI toolkit. You can use it without installing anything or self-host it. Supabase supports multiple programming languages and has a strong community for support and discussions. This means you get powerful database and application features similar to Firebase but with the flexibility and transparency of open-source software, which can be more customizable and cost-effective.
https://github.com/supabase/supabase
GitHub
GitHub - supabase/supabase: The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web…
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications. - supabase/supabase
#typescript #airtable #airtable_alternative #app_builder #database #internal_tool #low_code #no_code #nocode #postgres #postgresql #realtime #spreadsheet #sqlite
Teable is a powerful, no-code database system built on Postgres that offers a simple, spreadsheet-like interface. It allows you to create complex database applications quickly and efficiently, without worrying about data security or scalability. Here are the key benefits Teable processes millions of data points quickly and supports real-time collaboration.
- **User-Friendly** You can view data in various formats such as grid, form, Kanban, gallery, and calendar views.
- **Full SQL Support** You have control over your data, whether it's in the cloud or on-premise.
- **Developer Friendly**: It supports extensions and automation, making it easy for both non-tech users and developers to work with.
Overall, Teable makes app development faster and easier while ensuring your data is secure and scalable.
https://github.com/teableio/teable
Teable is a powerful, no-code database system built on Postgres that offers a simple, spreadsheet-like interface. It allows you to create complex database applications quickly and efficiently, without worrying about data security or scalability. Here are the key benefits Teable processes millions of data points quickly and supports real-time collaboration.
- **User-Friendly** You can view data in various formats such as grid, form, Kanban, gallery, and calendar views.
- **Full SQL Support** You have control over your data, whether it's in the cloud or on-premise.
- **Developer Friendly**: It supports extensions and automation, making it easy for both non-tech users and developers to work with.
Overall, Teable makes app development faster and easier while ensuring your data is secure and scalable.
https://github.com/teableio/teable
GitHub
GitHub - teableio/teable: ✨ The Next Gen Airtable Alternative: No-Code Postgres
✨ The Next Gen Airtable Alternative: No-Code Postgres - teableio/teable