Xinjian OUYANG's repositories
diffusion
Denoising Diffusion Probabilistic Models
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
PPOxFamily
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
BigDL
Fast, distributed, secure AI for Big Data
Neural-Network-Quantum-Field-States
Code for Neural Network Quantum Field States
cdvae
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
phono3py
A simulation package of phonon-phonon interaction related properties
QUIP
libAtoms/QUIP molecular dynamics framework: https://libatoms.github.io
XJTU-thesis
西安交通大学学位论文模板（LaTeX）（适用硕士、博士学位）An official LaTeX template for Xi'an Jiaotong University degree thesis (Chinese and English)
ipcsp
Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings
painn-sli
This is the source code for paper "Neural Network Potentials for Accelerated Metadynamics of Oxygen Reduction Kinetics at Au-Water Interfaces"
n2p2
n2p2 - A Neural Network Potential Package
PIDNet
This is the official repository for our recent work: PIDNet
extending-lammps-zh
我盗版我自己
PyNEP
A python interface of NEP
GPUMD
Graphics Processing Units Molecular Dynamics
torchani
Accurate Neural Network Potential on PyTorch
DADApy
Distance-based Analysis of DAta-manifolds in python
DeepLearning
深度学习教程, 优秀文章
Quantum_Physics
量子物理、量子计算相关资料
epnn
Electron-passing neural networks for charge partitioning in quantum chemistry
deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
dpgen
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
DRL
Deep Reinforcement Learning
Looking-to-Listen-at-the-Cocktail-Party
Executable code based on Google articles
GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch