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arpl

[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition

asam

Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.

asymfusion

[ACMMM 2020] Code release for "Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion"

aussc

Alternately Updated Convolutional Spectral-Spatial Network for Hyperspectral Image Classification(AUSSC)

automate-the-boring-stuff-with-python-solutions

Solutions for Automate the Boring Stuff with Python

awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

batch-effect-removal-benchmarking

A benchmark of batch-effect correction methods for single-cell RNA sequencing data

clonealign

Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data

coupled-cnns

cssr

[TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition

dcn

Deep Calibration Network

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deeplearningdataintegration

Here I show how to use Deep Learning for biological and biomedical Data Integration.

deeplearningsinglecellbiology

Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis

drit

Learning diverse image-to-image translation from unpaired data

equivariant_hgn

Anonymous repository for Equivariant Heterogenous Graph Networks – ICLR 2022

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

few-shot-vid2vid

fusenet-pytorch

gabor_cnn_pytorch

WACV2018/TIP: Gabor Convolutional Networks

gluer

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphnorm

The official implementation of Graph Normalization

heterogeneous_cd

This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.

hsi-datasets

Hyperspectral Remote Sensing Scenes

hsi-traditional-to-deep-models

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

hyftech-hyperspectral-shallow-deep-feature-extraction-toolbox

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

hyperspectral-vision-transformer

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

hyperspectral_deeplearning_review

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"