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24 search results found

Dcgan Tensorflow ⭐ 6,761

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Stargan V2 ⭐ 3,185

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

Delving Deep Into Gans ⭐ 817

Generative Adversarial Networks (GANs) resources sorted by citations

Dancenet ⭐ 453

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Stacked Generative Adversarial Networks

Net2net ⭐ 128

Network-to-Network Translation with Conditional Invertible Neural Networks

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

2019 Winter Hgu Machine Learing Camp ⭐ 117

2019년 겨울 한동머신러닝캠프 강의 자료 및 강의 동영상 (강사: 한동대 전산전자공학부 김인중 교수)

Torch Gqn ⭐ 106

PyTorch Implementation of Generative Query Network

Coursera Gan Specialization ⭐ 93

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

3d Fcr Alphagan ⭐ 83

Fully Convolutional Refined Auto Encoding Generative Adversarial Networks for 3D Multi Object Scenes

Wasserstein Introspective Neural Networks (CVPR 2018 Oral)

Neuralrg ⭐ 51

Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.

Learnanalytics Deeplearning Azure ⭐ 42

Learning Materials for Deep Learning on Azure

Restrictedboltzmannmachine ⭐ 35

Neural network trained as a generative model on the MNIST dataset using Persistent Contrastive Divergence.

Earth Moving Generative Net ⭐ 29

A deep generative model to predict aircraft actual trajectories using high dimensional weather data

Generative Models ⭐ 20

research and implementations of Generative Models(GANs, VAEs and Autoregressive models) and their applications

Bigprior ⭐ 19

(TIP 2022) Bayesian Integration of a Generative Prior for Image Restoration

Unsupervisedattentionmechanism ⭐ 19

Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".

Causal Deconvolution Of Networks ⭐ 18

Causal Deconvolution of Networks by Algorithmic Generative Models

Multi Agent Diverse Generative Adversarial Networks ⭐ 17

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Network

Paper Survey ⭐ 15

Generative Molecules ⭐ 15

Orgainzed Digital Intelligent Network (O.D.I.N)

Generative Model For Image Generation ⭐ 14

Repository contains code for artificial image generation using generative models, namely, Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN).

Hypergan ⭐ 14

Generative Model for Neural Networks

Drug Combo Generator ⭐ 9

Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding

This Gemstone Does Not Exist ⭐ 8

Deep Convolutional Generative Adversarial Network (DCGAN) for generating gemstones.

Vae Pytorch ⭐ 7

Implementation of Variational Autoencoder in Pytorch

Paper Notes ⭐ 6

notes from machine learning, reinforcement learning and other papers

Generative Model with Coordinate Metric Learning

Multilayergm Matlab ⭐ 5

A generative model for mesoscale structure in multilayer networks implemented in MATLAB

Mnist Gan ⭐ 5

Generative Adversarial Networks for the MNIST dataset

Gmmn Pytorch ⭐ 5

Implementation of Generative Moment Matching Networks in pytorch

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