🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

A curated list of awesome Machine Learning frameworks, libraries and software.

Deep Learning for humans

Interact with your documents using the power of GPT, 100% privately, no data leaks

Grok open release

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

The simplest, fastest repository for training/finetuning medium-sized GPTs.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

The official Meta Llama 3 GitHub site

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Graph Neural Network Library for PyTorch

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Stable Diffusion with Core ML on Apple Silicon

Datasets, Transforms and Models specific to Computer Vision

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Ongoing research training transformer models at scale

Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Python bindings for llama.cpp

Build resilient language agents as graphs.

A flexible framework of neural networks for deep learning

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Basic Machine Learning and Deep Learning

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.