📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
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AI that sees your screen, listens to your conversations and tells you what to do
A collaboration friendly studio for NeRFs
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Lightweight AI-friendly Docker Swarm management
- docker
- swarm
- management
- ui
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
Kangaroo is an AI-powered SQL client and admin tool for popular databases (MariaDB / MySQL / Oracle / PostgreSQL / Redis / SQLite / SQL Server / ...) on Windows / MacOS / Linux, support table design, query, model, sync, export/import etc, focus on comfortable, fun and developer friendly.
A machine learning library for Clojure built on top of Weka and friends
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
- beginner-friendly
- beginner-project
- deep-learning
- deep-neural-networks
🚀 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.
Video game review datasets scraped from the Steam website (http://store.steampowered.com/). Data includes review text, number of hours that the reviewer played the game, number of friends, groups, etc.