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awesome-few-shot-image-generation

A curated list of papers, code and resources pertaining to few-shot image generation

awesome-few-shot-learning

A review for latest few-shot learning works

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

benchmarking-gnns

Repository for benchmarking graph neural networks

dassl.pytorch

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

deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

deepemd

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

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

domain-generalization

All about domain generalization

dpgn

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

featureclustering

few-shot-classification-leaderboard

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

few-shot-gnn

gnn_few_shot_cifar100

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

gnnpapers

Must-read papers on graph neural networks (GNN)

literaturedl4graph

A comprehensive collection of recent papers on graph deep learning

networkx

Network Analysis in Python

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

transferlearning-tutorial

《迁移学习简明手册》LaTex源码