Agent S: the state-of-the-art open source computer use agents
- agent-computer-interface
- ai-agents
- computer-automation
- gui-agents
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Agent S: the state-of-the-art open source computer use agents
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
fsociety Hacking Tools Pack – A Penetration Testing Framework
Retrieval and Retrieval-augmented LLMs
An educational resource to help anyone learn deep reinforcement learning.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
An elegant PyTorch deep reinforcement learning library.
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
TranslatedOneForAll is a powerful subdomain collection tool
SANA & Sol: Efficient Generative Models and Full-Stack Training & Inference Engines for Image, Video, and World Modeling
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Common used path planning algorithms with animations.
"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.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
A collection of machine learning examples and tutorials.
A configurable set of panels that display various debug information about the current request/response.