huangxiang360729 Goto Github PK

animl

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

ateam

A pyTorch Extension for Applied Mathematics

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

classifier-pruner

Using Network-Slimming to prune classifier

convolutional_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

ddfnet

The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

discover-pde-with-noisy-scarce-data

ICLR2022: Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

fastmoe

A fast MoE impl for PyTorch

fcnvmb-deep-learning-based-seismic-velocity-model-building

Deep-learning inversion: A next-generation seismic velocity model building method

fdtd-1d-2d-3d-

FDTDsimulation,1D,2D,3D

fdtd-mur-cuda

2D FDTD solution for Mur's Absorbing Boundary Condition using CUDA acceleration.

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

galerkin-transformer

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

gnn_review

GNN综述阅读报告

graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

img-storage

img storage for other repository

lof

Implementing LOF algorithm in C language

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

mscalednn

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

openfwi

A collection of codes with OpenFWI project

pde-net

PDE-Net: Learning PDEs from Data

pdebench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

percnn

Physics-encoded recurrent convolutional neural network

pinns_for_point_source_ijcai2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source

pygcn

Graph Convolutional Networks in PyTorch

pytorch-cifar

95.16% on CIFAR10 with PyTorch