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ga_data_science_capstone

gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

gan-defect

demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch

gan-metrics

An empirical study on evaluation metrics of generative adversarial networks.

gan-qp

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

gan-sandbox

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

gan2shape

Code for GAN2Shape (ICLR2021 oral)

gan_review

A Survey and Taxonomy of the Recent GANs Development & GAN-based Action Recognition Implementations

gan_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

ganalyze

ganfingerprints

The official Tensorflow implementation for ICCV'19 paper 'Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints'

gangealing

Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment

ganhacks

starter from "How to Train a GAN?" at NIPS2016

ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

ganseeing

Seeing what a GAN cannot generate. Visualizes and quantifies object classes within scenes that are outside the range of a GAN.

gaps

A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:

gaspumpocr

Python and OpenCV scripts to detect digits on a Gas Pump

gat

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

gate

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

gate-decorator-pruning

Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"

gatne

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

gaug

Implementation for AAAI'21 paper: Data Augmentation for Graph Neural Networks

gauss_rank_scaler

Scikit-learn compatible implementation of the Gauss Rank scaling method

gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

gb-gnn

Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

gbp

Gaussian Belief Propagation for Bundle adjustment and pose graph estimation.

gc-mc