🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

scikit-learn: machine learning in Python

The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.

The definitive Web UI for local AI, with powerful features and easy setup.

An AI Hedge Fund Team

Code and documentation to train Stanford's Alpaca models, and generate the data.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

🤗 smolagents: a barebones library for agents that think in code.

Open standard for machine learning interoperability

Faster Whisper transcription with CTranslate2

Train transformer language models with reinforcement learning.

FauxPilot - an open-source alternative to GitHub Copilot server

Wan: Open and Advanced Large-Scale Video Generative Models

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Ollama Python library

Build effective agents using Model Context Protocol and simple workflow patterns

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

A PyTorch native platform for training generative AI models

An implementation of a deep learning recommendation model (DLRM)

My own custom 12ft.io replacement

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Run PyTorch LLMs locally on servers, desktop and mobile

On-device AI across mobile, embedded and edge for PyTorch

PyTorch native quantization and sparsity for training and inference

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

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