A curated list of awesome data labeling tools
- image-annotation
- video-annotation
- audio-annotation-tool
- audio-annotation
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A curated list of awesome data labeling tools
A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion.
The virtual Eurorack studio
Fast and beautiful Log Viewer for Laravel
The missing integration layer for AI agents. Let them call any OpenAPI / MCP / GraphQL / custom js functions in secure environment.
Blinker python library for hardware. Works with Raspberry Pi, Banan Pi, Linux devices
Fast data visualization and GUI tools for scientific / engineering applications
TranslatedA visual management tool for the OpenAI Codex desktop app/CLI, offering Provider/API switching, session sync, prompt injection, Skills/MCP management, and TOML configuration visualization. It is a cross-platform tool.
An invisible desktop application to help you pass your technical interviews.
A curated list of papers & resources linked to 3D reconstruction from images.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Snippet Engine for Neovim written in Lua.
TranslatedThe Swiss Army knife of big front-end, recording only what is useful.
Automatic multi-tenancy for Laravel. No code changes needed.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
David Attenborough narrates your life
Bazarr is a companion application to Sonarr and Radarr. It manages and downloads subtitles based on your requirements. You define your preferences by TV show or movie and Bazarr takes care of everything for you.
Data Science Roadmap from A to Z
TranslatedMulti-Platform Live Stream Automatic Recording Tool | Multi-platform live stream automatic recording client, based on FFmpeg, supports monitoring/scheduling/transcoding
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Template iOS app using Clean Architecture and MVVM. Includes DIContainer, FlowCoordinator, DTO, Response Caching and one of the views in SwiftUI
🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.
🛠️ The recommended way to start a Vite-powered Vue project