TruongChien

awesome-equivariant-network

Paper list for equivariant neural network

awesome-graph-transformer

Papers about graph transformers.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-point-cloud-analysis-2023

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

chroma-pytorch

Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch

DeepEnergy-TopOpt

Density-based topology optimization via the deep energy method

DiffDock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Diffusion-Models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Ferrite.jl

Finite element toolbox for Julia

GeneticAlgorithmPython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Gridap.jl

Grid-based approximation of partial differential equations in Julia

holoprot

Multi-Scale Representation Learning on Proteins (NeurIPS 2021)

lab-session-generative-modeling

Lab session of the course generative modeling

neuraloperator

Learning in infinite dimension with neural operators.

pcdiff-implant

PyTorch implementation for "Point Cloud Diffusion Models for Automatic Implant Generation" (MICCAI 2023)

PINN

PINNacle

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

point-e

Point cloud diffusion for 3D model synthesis

riemannian-score-sde

Score-based generative models for compact manifolds

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

ScoreDiffusionModel

The Pytorch Tutorial of Score-based and Diffusion Model

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

taichi

Productive & portable high-performance programming in Python.

torchquantum

A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

bio-diffusion

A PyTorch hub of denoising diffusion probabilistic models designed to generate novel biological data

CVPR2022-Papers-with-Code

CVPR 2022 论文和开源项目合集

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

optimesh

:spider_web: Mesh optimization, mesh smoothing.

SPIDER_active_nematics

This code can reproduce the results of "Physically-informed data-driven modeling of active nematics"