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

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

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

Graph Neural Network Library for PyTorch

PyTorch implementations of Generative Adversarial Networks.

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

Open source annotation tool for machine learning practitioners.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

PyTorch deep learning projects made easy.

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

A library for scientific machine learning and physics-informed learning

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

FAIR Chemistry's library of machine learning methods for chemistry

Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property c…

Noise Conditional Score Networks (NeurIPS 2019, Oral)

NequIP is a code for building E(3)-equivariant interatomic potentials

Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

Generic template to bootstrap your PyTorch project.

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

Implementation for SE(3) diffusion model with application to protein backbone generation

DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules…

Graph deep learning library for materials

Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.

An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Material Science Aware Language Model

A toolbox that provides hackable building blocks for generic 1D/2D/3D UNets, in PyTorch.

MLMD: a programming-free AI platform to predict and design materials