XinjianOUYANG

3

GPU-accelerated micromagnetic simulator

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

DeepLearning

深度学习教程, 优秀文章

lammps-input-files

LAMMPS inputs and data files

Mathematics

数学入门教材，适用于工科生

MicroElectronics

微电子学自学计划

Pole_Projet_DDSP

DDSP Pole Project Resource

Quantum_Physics

量子物理、量子计算相关资料

The_algorithms_Python

算法及其python实现

XinjianOUYANG.github.io

XinjianOUYANG/3

GPU-accelerated micromagnetic simulator

XinjianOUYANG/MicroElectronics

微电子学自学计划

XinjianOUYANG/AutoForce

Sparse Gaussian Process Potentials

XinjianOUYANG/awesome-AI4EDA

This repo awesome-AI4EDA contains the source for the webpage: https://ai4eda.github.io, which is a curated paper list of awesome AI for EDA.

XinjianOUYANG/chemtrain

Training Molecular Dynamics Potentials in JAX

XinjianOUYANG/chgnet

Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov

XinjianOUYANG/circuit_training

XinjianOUYANG/CircuitNet

CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

XinjianOUYANG/circumventing_data_imbalance_magmom_predictions

This repository houses all the code and data that should allow for the reproduction of the results in the paper: "Circumventing Data Imbalance in Magnetic Ground State Data for Magnetic Moment Predictions"

XinjianOUYANG/Dans_Diffraction

Reads crystallographic cif files and simulates diffraction

XinjianOUYANG/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

XinjianOUYANG/deepxde

A library for scientific machine learning and physics-informed learning

XinjianOUYANG/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

XinjianOUYANG/difftre

Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting

XinjianOUYANG/DiffuseCode

Suite of programs to simulate disordered and nanomaterials

XinjianOUYANG/DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

XinjianOUYANG/dm-haiku

JAX-based neural network library

XinjianOUYANG/dscribe

DScribe is a python package for creating machine learning descriptors for atomistic systems.

XinjianOUYANG/Fused-EXP-DFT-MLP

XinjianOUYANG/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

XinjianOUYANG/LeftNet

XinjianOUYANG/llg

This repository provides a library to solve the LLG equation by using the Heun schema. Also, it provides a CLI to run the library.

XinjianOUYANG/mace

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

XinjianOUYANG/MLCAD-2023-FPGA-Macro-Placement-Contest

XinjianOUYANG/neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

XinjianOUYANG/PhiFlow

A differentiable PDE solving framework for machine learning

XinjianOUYANG/powerxrd

A Python package build to analyze powder XRD (and XRD) data. The only known open-source Github project with a Rietveld refinement method in development.

XinjianOUYANG/pytorch_geometric

Graph Neural Network Library for PyTorch

XinjianOUYANG/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

XinjianOUYANG/torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods