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adm

The Pytorch code of "Asymmetric Distribution Measure for Few-shot Learning", IJCAI 2020.

albrt

Cellular Composition Prediction in Routine Histology Images

atl-net

The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.

avt-pytorch

Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019

cgc-net

cell graph convolutional network

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cvpr2020-shoestring

cvpr2020 source code

deepembeddingmodel_zsl

Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

dn4

The Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

dpgn

This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

few-shot-gnn

fewshot-egnn

gdq

graphsage-simple

Simple reference implementation of GraphSAGE.

hgnn

Hypergraph Neural Networks (AAAI 2019)

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

hypergcn

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

ici-fsl

This repository contains the code for Instance Credibility Inference (ICI).

imprinted-weights

Code for 'Low-Shot Learning with Imprinted Weights'

jo-src

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

matchingnetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

mixmatch

non-local-nn-pytorch

PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

patch-gcn

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

resnet50-unet

Segmentation for vertebra in MR images

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

self-supervised-gans-pytorch

Ready to train Pytorch implementation of the CVPR'19 paper "Self-Supervised GANs via Auxiliary Rotation Loss"