A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Python module for quantum chemistry

Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python

Python tools for automating routine tasks encountered when running quantum chemistry computations.

psi4+RDKit

Δ-QML for medicinal chemistry

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

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

Inference code for Llama models

A list of totally open alternatives to ChatGPT

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

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

A minimal implementation of diffusion models for text generation

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Recipe for a General, Powerful, Scalable Graph Transformer

Domain adaptation made easy. Fully featured, modular, and customizable.

Bayesian optimization in PyTorch

A python module for scraping static and dynamic content from Basketball Reference.

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Easy to use extractive text summarization with BERT

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Message Passing Neural Networks for Simplicial and Cell Complexes