All repositories

Open models & inferencegoogle-deepmind

alphafold

DeepMind's official AlphaFold 2 code: predicts a protein's 3D structure from its sequence. A showcase of AI changing science far beyond chatbots.

Who it is for

For bioinformaticians and anyone curious about AI in science.

How to start

  1. Clone the repo: git clone https://github.com/deepmind/alphafold.git.
  2. Download the genetic databases: scripts/download_all_data.sh <DOWNLOAD_DIR>; it needs up to 3 TB and Linux.
  3. Run a prediction with run_docker.py.

Steps are taken from the README. Check the current version in the repository before running them.

Stars over the last 30 days

+67Sep 7 — Oct 4
14,80014,867

Author's description

Open source code for AlphaFold 2.

ollama

ollama

The easiest way to run an open model on your own machine: one command downloads and starts it, plus a local REST API and libraries for Python and JavaScript.

182Kstars+2.5K in 30 dGo

huggingface

transformers

The core library for working with models: one codebase for text, vision, audio and multimodal tasks, for both inference and training. Most new open models ship through it.

167Kstars+2.4K in 30 dPython

open-webui

open-webui

A self-hosted ChatGPT-style interface that connects to Ollama and any OpenAI-compatible API. Installs with a single Docker command and runs on your own server.

154Kstars+3.2K in 30 dPython

ggml-org

llama.cpp

A C/C++ engine that runs language models on ordinary hardware: laptops, phones, GPU-less servers. Much of local AI, Ollama included, is built on it.

130Kstars+3.5K in 30 dC++

deepseek-ai

DeepSeek-V3

Repository of the large open DeepSeek-V3 mixture-of-experts model: description, benchmark results and run instructions. It showed an open model can stand next to closed ones.

105Kstars+317 in 30 dPython

pytorch

pytorch

The foundation under most modern neural networks: GPU-accelerated tensors and automatic differentiation, wrapped in ordinary Python. Transformers, Llama and nearly every open model are written on it.

104Kstars+1.1K in 30 dPython