Code and documentation to train Stanford's Alpaca models, and generate the data.
- deep-learning
- instruction-following
- language-model
Repository Index
47,133 repositories indexed
1–15 of 15 · Most stars
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
- yolox
- yolov3
- onnx
- tensorrt
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
- ai
- code-intelligence
- dead-code
- developer-tools
:house: Home Assistant configuration & Documentation for my Smart House. Write-ups, videos, part lists, and links throughout. Be sure to :star: it. Updated FREQUENTLY!
- home-assistant
- home-automation
- automation
- homeautomation
README file generator, powered by AI.
- readme-generator
- readme
- readme-md-generator
- ai
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
- 3d-generation
- image-to-3d
- geometry-refinement
- sparc3d
A curated list of resources for the conservation, development, and documentation of low resource (human) languages.
- endangered-languages
- natural-language
- language-resources
- human-language
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
Maze Applied Reinforcement Learning Framework
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
🚀 Production-ready AI-friendly Go REST API boilerplate with Clean Architecture, JWT auth, RBAC, PostgreSQL migrations, and highly tested. AI-optimized with built-in guidelines for most used IDEs. Docker hot-reload, Swagger docs, one-command setup. Build production APIs in minutes, not weeks.
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
- image-processing
- images
- image-analysis
- deep-learning
Upkeep — an AI audit crew for your repo. Catches docs/spec/asset drift with evidence; output-only. Claude Code plugin/skill + reusable CI workflow.