yunda_si's repositories
MAgent2
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
equifold
Official code repository for EquiFold
e3nn
A modular framework for neural networks with Euclidean symmetry
AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
foldingdiff
Diffusion models of protein structure; trigonometry and attention are all you need!
acme
A library of reinforcement learning components and agents
evotorch
EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
awesome-equivariant-network
Paper list for equivariant neural network
GPU-Puzzles
Solve puzzles. Learn CUDA.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
progen
Official release of the ProGen models
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
sidechainnet
An all-atom protein structure dataset for machine learning.
ProtTrans
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
egnn-pytorch
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
hexo-theme-butterfly
🦋 A Hexo Theme: Butterfly
GNN_PPI
Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".
yunda-si
Config files for my GitHub profile.
protein-sequence-embedding-iclr2019
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
geometric-vector-perceptron
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
masif
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
test
test
neurips19-graph-protein-design
Generative Models for Graph-Based Protein Design
latexify_py
Generates LaTeX math description from Python functions.