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fiftyone

The open-source tool for building high-quality datasets and computer vision models

fishr

Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization

fixmatch

A simple method to perform semi-supervised learning with limited data.

food-101-keras

Food Classification with Deep Learning in Keras / Tensorflow

fuse_seg_pytorch

Pytorch Implementation of Paper: Enhancing Feature Fusion for Semantic Segmentation (face++)

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

gapanalysis

Tools to Determine Significance of Missing Craters Between Largest and Next-Largest

gcn_clustering

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

gcsal

Global Climate Statistical Analysis Library (GCSAL) allows viewing of climate statistics formulated from over 60 years of data acquisition at 3000 locations around the world.

gelm-ae-al

The following demo comes for two papers "Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification" and "Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification".

generative-model-using-pytorch

implement GANs and VAE using pytorch

geneview

A python package for genomics data visualization by using matplotlib

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

glnet

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

gmnn

Graph Markov Neural Networks

gnnpapers

Must-read papers on graph neural networks (GNN)

grad-cam.pytorch

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizat

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-cnn-in-3d-point-cloud-classification

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

grasp-and-lift-eeg-challenge

Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

handong1587.github.io

hashing-baseline-for-image-retrieval

:octocat:Various hashing methods for image retrieval and serves as the baselines

hdml

Hamming Distance Metric Learning with Non-linear Projection

hed

A PyTorch reimplementation of Holistically-Nested Edge Detection

hgnn

Hypergraph Neural Networks (AAAI 2019)

how-to-make-high-resolution-remote-sensing-image-dataset-

高分遥感影像数据集的制作

hr-s2dml

codes for RS paper: High-Rankness Regularized Semi-supervised Deep Metric Learning for Remote Sensing Imagery