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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The definitive Web UI for local AI, with powerful features and easy setup.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Train transformer language models with reinforcement learning.
Python Implementation of Reinforcement Learning: An Introduction
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
A model-driven approach to building AI agents in just a few lines of code.
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
A modular RL library to fine-tune language models to human preferences
A library for advanced large language model reasoning
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
A tiny library for coding with large language models.
Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
BabyAI platform. A testbed for training agents to understand and execute language commands.
Implementation of Dreamer v3 in pytorch.