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deit

Official DeiT repository

detecting-ships

Using Satellite Imagery to detect ships (Basic Object Detection)

diffpool

TensorFlow 2.0 implementation of MNIST classification using Graph Convolutional Network

dive-into-cv-pytorch

动手学CV-Pytorch版

dl-4-tsc

Deep Learning for Time Series Classification

dnn-based_source_separation

A PyTorch implementation of DNN-based source separation.

e3bm

PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning"

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

eesrgan

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

embedding-propagation

Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification

emitter

Radar Emitter Signal Simulation, Sorting and Recognition

eorssd-dataset

Extended Optical Remote Sensing Saliency Detection (EORSSD) Dataset

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

f-eesrgan

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network (Adding filter network is on progress)

face-transformer

Face Transformer for Recognition

fedlab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

few-shot-class-incremental-learning

few-shot-learning-based-on-gan

基于GAN的小样本学习实验(pytorch)

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

fewshot-egnn

fin-ml

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

frcnn-for-aircraft-detection

FRCNN for remote sensing image aircraft detection

fs-ood

Kuan-Chieh Wang, Paul Vicol, Eleni Triantafillou, Richard Zemel. (2020). “Few-shot Out-of-Distribution Detection.” (ICML) Workshop on Uncertainty and Robustness in Deep Learning

fslc

Few-shot Learning Classification for Image

fusingtransformermodelwithtemporalfeaturesforecgheartbeatclassification

gabor-cnn-cifar-10

This project is created in order to compare the differences between the convolutional neural network with and without Gabor's feature extraction

gcdn

Deep Graph-Convolutional Image Denoising

gcn

Trying out GCN for image classification

gcn_mnist

gcnn-survey-paper