xinjianouyang Goto Github PK
Name: Xinjian OUYANG
Type: User
Company: CentraleSupélec
Location: France
Name: Xinjian OUYANG
Type: User
Company: CentraleSupélec
Location: France
GPU-accelerated micromagnetic simulator
This package provides the interface module between aenet [1] and LAMMPS [2], patch of aenet for the LAMMPS library, and Artificial Neural network (ANN) potential parameter file of BCC iron.
Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
Sparse Gaussian Process Potentials
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.
A curated list of awesome Python frameworks, libraries, software and resources
A curated list of awesome quantum computing learning and developing resources.
Fast, distributed, secure AI for Big Data
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
Crystal graph convolutional neural networks for predicting material properties.
Training Molecular Dynamics Potentials in JAX
Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
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"
Distance-based Analysis of DAta-manifolds in python
Reads crystallographic cif files and simulates diffraction
Deep neural networks for density functional theory Hamiltonian.
深度学习教程, 优秀文章
A deep learning package for many-body potential energy representation and molecular dynamics
This repository contains implementations and illustrative code to accompany DeepMind publications
A library for scientific machine learning and physics-informed learning
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
Suite of programs to simulate disordered and nanomaterials
Denoising Diffusion Probabilistic Models
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.