liqiaofeng1990 Goto Github PK
Name: Qiaofeng Li
Type: User
Company: Zhejiang University
Bio: Currently assistant professor at ZJU working on deep learning in physics
Location: Hangzhou, China
Name: Qiaofeng Li
Type: User
Company: Zhejiang University
Bio: Currently assistant professor at ZJU working on deep learning in physics
Location: Hangzhou, China
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Counting the number of conservation laws from trajectory data
Open source code for AlphaFold.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Finite volume solver for incompressible multiphase flows with surface tension. Foaming flows in complex geometries.
Automatic architecture search and hyperparameter optimization for PyTorch
:sunglasses: A curated list of awesome collision detection libraries and resources
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Pytorch implementation of Bayesian physics-informed neural networks
This repo contains code for the paper: "B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning".
" Weight Uncertainty in Neural Networks"
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
A comprehensive benchmark for machine learning methods in fluid dynamics
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Official Matplotlib cheat sheets
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
[NeurIPS2019] Chirality Nets for Human Pose Regression
cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.
NumPy & SciPy for GPU
Deep LSTM for highly nonlinear system modeling
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
A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.
The Pytorch implementation of "DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes"
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.