lithostark

pytorch_geometric

Graph Neural Network Library for PyTorch

GNNPapers

Must-read papers on graph neural networks (GNN)

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

autograd

Efficiently computes derivatives of NumPy code.

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

stylegan3

Official PyTorch implementation of StyleGAN3

pytorch-faster-rcnn

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

Dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

xcit

Official code Cross-Covariance Image Transformer (XCiT)

deep-blind-watermark-removal

[AAAI 2021] Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal

psgd_torch

Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

stacked-capsule-networks

Pytorch Implementation of the Stacked Capsule Autoencoders

IEEE_TGRS_MDL-RS

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2021, 59(5): 4340-4354.

MultiDigitMNIST

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

DAGCN

Dual Attention Graph Convolutional Network

GraN-DAG

SAR_specific_models

WMMSE-deep-unfolding

awesome-multimodal-remote-sensing-classification

List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification

ICML2021-Gem

Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."

splitnet

Code for SplitNet paper

contrastive_sensor_fusion

Open-source code for the paper "Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach ".

congruency

[TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"

BregmanLearning

Optimizing neural networks via an inverse scale space flow.

codedapertures

a python package for generating coded aperture patterns

DSD-training

Implementation of DSD: Dense-Sparse-Dense Training for Deep Neural Networks in Pytorch.

Gradient-Projection-Method

final exam matlab file for gradient projection method

MCMIL

A multiclass multiple instance learning method. Only need to know whether any instance of a class exists or not in a sample. Demonstration on multiple object detection and localization.