zhengsx

open-interpreter

A natural language interface for computers

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

alphafold

Open source code for AlphaFold.

InstantID

InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥

deepchem

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

muzic

Muzic: Music Understanding and Generation with Artificial Intelligence

ethereum_book

精通以太坊 （中文版）

git-subrepo

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

biomes-game

Biomes is an open source sandbox MMORPG built for the web using web technologies such as Next.js, Typescript, React and WebAssembly.

Graphormer

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

DiffDock

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

rtdl

Research on Tabular Deep Learning: Papers & Packages

deq

[NeurIPS'19] Deep Equilibrium Models

ocp

Open Catalyst Project's library of machine learning methods for catalysis

msccl

Microsoft Collective Communication Library

MGSSL

Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"

wholegraph

WholeGraph - large scale Graph Neural Networks

causal-semantic-generative-model

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

kernel_umidigi_f2_mt6771_4.14

UMIDIGI F2

Vina-GPU-CUDA

A CUDA implementation of Vina-GPU

fused_ops

SciMT-benchmark

MSR-DynamicSimulation

This is the repository for USTC-MSRA 2023 Innovation Project, with the topic of Dynamic Simulation.

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

distributionalgraphormer.github.io

dynaformer_model

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

path_algo_perf

gsgd

Graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".