PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
- yolov3
- object-detection
- yolo
- deep-learning
55,640 visible repositories in the index
97–120 of 729 · Most stars
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
A collection of agent recipes, reference patterns, and vertical plugins built with Agent Development Kit (ADK)
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ https://greasyfork.org/en/scripts/437569-cotrans-manga-image-translator-regular-edition
Implementation of Nougat Neural Optical Understanding for Academic Documents
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Ansible for DevOps examples.
An open Apple AirDrop implementation written in Python
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Manipulate audio with a simple and easy high level interface
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
Keras implementations of Generative Adversarial Networks.
The repository host gives no description.
An interactive command-line HTTP and API testing client built on top of HTTPie featuring autocomplete, syntax highlighting, and more. https://twitter.com/httpie
People tracker on the Internet: OSINT analysis and research tool by Jose Pino
Examples in the MLX framework
Sharp Monocular View Synthesis in Less Than a Second
A collection of machine learning examples and tutorials.