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gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gaussian-regularizer

The official implementation of the Gaussian moment regularizer.

gcc-cl

GCC dataset Collector and Labeler (GCC CL) [CVPR2019]

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_clustering

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

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

gcrf

Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs

gdas

PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019

gdown

Download a large file from Google Drive (curl/wget fails because of the security notice).

generating_people

Official code repository for the paper "A Generative Model for People in Clothing".

generative-adversarial-networks

Tutorial on GANs

ghostnet

[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

gigavision

git-loss-for-deep-face-recognition

This repository contains code for the paper "Git Loss for Deep Face Recognition".

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

gluon-cv

Gluon CV Toolkit

gluon-fr

An unofficial Gluon FR Toolkit for face recognition.

gluoncv-torch

PyTorch API for GluonCV Models

gnet-pose

Source code release of the paper: Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation.

gnnpapers

Must-read papers on graph neural networks (GNN)

goagent-always-available

一直可用的GoAgent，会定时扫描可用的google gae ip，提供可自动化获取ip运行的版本

google-research

Google AI Research

gp

gperftools

Main gperftools repository

gpt2-for-hmg

Using GPT2 to build a human motion model!

gpu-efficient-networks

grace

GRACE - GRAdient ComprEssion for distributed deep learning

gradnet-pytorch

The code of GradNet based on pytorch

graph

Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts

graphcmr

Repository for the paper "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction"