QiWang-SJTU

QiWang-SJTU's Stars

• mymusise/gpt2-quickly

  Language:Python14145

• 567haofeiji/yingyuan

  1938

• tpms-lattice/ASLI

  A Simple Lattice Infiller

  Language:C++136

• UW-ERSL/FluTO

  Graded Multiscale Fluid Topology Optimization using Neural Networks

  Language:Python162

• CONMAD-CIDESIMX/MaSMaker

  Language:Python105

• Janspiry/Image-Super-Resolution-via-Iterative-Refinement

  Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

  Language:Python3.6k462

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k303

• google-research/circuit_training

  Language:Python849148

• YuntianChen/SGA-PDE

  Symbolic genetic algorithm for discovering open-form partial differential equations

  Language:Python3313

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k324

• PaddlePaddle/PaddleScience

  PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.【安全加固，暂停交互，请耐心等待】

  Language:Python265152

• cfl-minds/gnn_laminar_flow

  Laminar flow prediction using graph neural networks

  Language:Python229

• isds-neu/PhyCRNet

  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

  Language:Python11834

• deng-cy/deep_learning_topology_opt

  Code for paper "Self-Directed Online Machine Learning for Topology Optimization"

  Language:MATLAB9824

• isds-neu/EQDiscovery

  Physics-informed learning of governing equations from scarce data

  10132

• rajak7/RL_kirigami

  Deep Reinforcement Learning Assisted Kirigami Design of 2D Material

  Language:Python83

• YuntianChen/Hard_constraint_projection_HCP

  Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method

  Language:Python5519

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.6k351

• tristandeleu/pytorch-maml-rl

  Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

  Language:Python822157

• lucifer2859/meta-RL

  Language:Python252

• xiaoyuxie-vico/DL-AM

  Language:Python10

• emiled16/IFT6756-BayesianGAN

  Language:Python21

• thu-ml/zhusuan

  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

  Language:Python2.2k418

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.2k1.1k

• andrewgordonwilson/bayesgan

  Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

  Language:Jupyter Notebook1k176

• scaomath/galerkin-transformer

  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations

  Language:Python21728

• ZichaoLong/aTEAM

  A pyTorch Extension for Applied Mathematics

  Language:Python3711

• UW-ERSL/AuTO

  Language:Jupyter Notebook3312

• saniaki/sequential_PINN

  Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems

  Language:Jupyter Notebook4617

• Foxelmanian/ToOptix

  Overview of the ToOptix Module and Addons

  4911