High-performance Vision library in Python. Scale your research, not boilerplate.
Resources about time series forecasting and deep learning.
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
这是一个 LangChain 1.0 和 LangGraph 1.0 的学习仓库,学习如何进行agent开发,涵盖从基础概念到实战项目的完整学习路径。
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
[ICLR 2026] ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
Isaac Lab - Arena is a robotics simulation framework that enhances NVIDIA Isaac Lab by providing a composable, scalable system for creating diverse simulation environments and evaluating robot learning policies. The framework enables developers to rapidly prototype and test robotic tasks with various robot embodiments, objects, and environments.
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
[arxiv'26] GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation
SDK libraries for Modal
FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs
向顶会优秀论文学科研|Oral Paper Skill — 从 883 篇 Oral 论文摘要中“蒸馏”共通做法,用于论文对照改进与学习复盘 · Skill + prompt pack (CN/EN). Learn from 883 Oral paper abstracts to improve your research and writing.
An evidence-led, eight-locale LLM playbook: a transferable core, the Codex flagship track, and adapters for ChatGPT, Claude Code, Gemini, DeepSeek, and Grok.
GPT-Policy: In-Context Robot Learning with VLM Agents
Embodied In-Context Learning for GPT-6 Astra
《延世韩国语》1–6 册开源词源单词本:中韩英对照、词源追溯、可编辑数据与自制单词书生成器
OmniEdu: Open Foundation Models for Learning and Teaching
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
📄Score Centering Stabilizes Off-policy Reinforcement Learning
Deterministic Clash Royale simulator and a reinforcement-learning agent for 2.6 Hog Cycle. Integer-exact physics from client data, 1,600+ tests.
Adaptive Agent Learning with Evolving Supervision
Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
Official codebase for Unitas: A 3D-Native World Action Model for Embodied Manipulation
BarunLM-35M: a parameter-efficient 35M base language model trained on 5.7B tokens
Claude skill that turns a book (EPUB, PDF, HTML, DOCX, Markdown) into an interactive beginner-friendly course: step-by-step lessons, animations, quizzes, chapter tests, flashcards and coding exercises checked by unit tests, with progress saved to files. Runs in the browser, or packaged as an Android APK or a Linux AppImage.
Training DroidUp E1 humanoid robot locomotion using MJLab with AMP (Adversarial Motion Prior) and Mimic learning in simulation.
[NeurIPS 2026] Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
This repo is a alternative solution for standard self-attention. It uses tree routing with learnable functions for cheaper self-attention while not compromising accuracy.
Reflex: Visually Grounded Reactive Humanoid Control (code coming soon)
A fruit fly connectome (165k neurons, 25.6M synapses) trained to drive a simulated street from pixels. Code, patches, renderer, results.
Annotation-free multi-animal direction estimation using self-supervised learning
Open-source quantitative finance models in Python: option pricing and Greeks, volatility surfaces, deep hedging, portfolio construction and Monte Carlo. Every model runs on free data, with the full write-up on davidariasfinance.com
A Flipper Zero that stops guessing and starts reasoning: ML-guided RFID/NFC fuzzing & access-control auditing that turns raw card reads into a prioritized, explainable security assessment. Defensive-use only.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Graph Neural Network Library for PyTorch
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Open standard for machine learning interoperability
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
A hyperparameter optimization framework
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Convert Machine Learning Code Between Frameworks
Open Machine Learning Compiler Framework
Low-code framework for building custom LLMs, neural networks, and other AI models
ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀
🐍 Geometric Computer Vision Library for Spatial AI
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Minimal and clean examples of machine learning algorithms implementations
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.