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gnnpapers

Must-read papers on graph neural networks (GNN)

good-semi-bad-gan

TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"

gpt2

An implementation of training for GPT2, supports TPUs

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation"

graph_nets

Build Graph Nets in Tensorflow

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

hello-world

Interesting.

i2r9djvl5mw

Encrypted dataset

idec

idec-pytorch

Pytorch implementation of Improved Deep Embedded Clustering

ihmehimmeli

image-denoising-state-of-the-art

improved-gan

code for the paper "Improved Techniques for Training GANs"

improved_wgan

Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

improvedgan-tensorflow

A Tensorflow implementation of Semi-supervised Learning GAN

imsat

Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"

imsat-1

tensorflow code for IMSAT (only MNIST clustering)

imsat-2

Chainer implementation of Information Maximizing Self Augmented Training

infogan

wgan + infoGAN on MNIST

insightface

Face Analysis Project on MXNet

iterative-bp-cnn

The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"

kaggle-imaterialist

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

keras_deep_clustering

How to do Unsupervised Clustering with Keras

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lbpcascade_animeface

A Face detector for anime/manga using OpenCV

libsrm

A C++/Python implementation of the statistical region merging algorithm

lihang-code

《统计学习方法》的代码实现

lsgan

This is the project for LS-GAN (Loss-Sensitive GAN)

lstm-autoencoder

TensorFlow LSTM-autoencoder implementation