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80 search results found

Machine Learning For Trading ⭐ 9,469

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Animegan ⭐ 1,225

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Gans In Action ⭐ 929

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

Discogan Pytorch ⭐ 928

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Fewshot Face Translation Gan ⭐ 620

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Generative Adversarial Networks ⭐ 488

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Gan Metrics ⭐ 275

An empirical study on evaluation metrics of generative adversarial networks.

Unrolled_gan ⭐ 268

Unrolled Generative Adversarial Networks

Gan_steerability ⭐ 213

On the "steerability" of generative adversarial networks

Generative_adversarial_networks_101 ⭐ 190

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Adversarialvariationalbayes ⭐ 185

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Keras Acgan ⭐ 177

Auxiliary Classifier Generative Adversarial Networks in Keras

Chromagan ⭐ 167

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

Machine Learning For Algorithmic Trading Second Edition ⭐ 141

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

Generative_adversarial_networks_live ⭐ 113

Capsule Gan ⭐ 111

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Calogan ⭐ 103

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Periodic Spatial Generative Adversarial Networks

Fairness In Ml ⭐ 88

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

Dcgan Oreilly ⭐ 84

Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"

3dbraingen ⭐ 79

Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)

Alpha Gan ⭐ 75

pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).

Compressed Sensing MRI based on Deep Generative Adversarial Network

Causal_book ⭐ 66

書籍「作りながら学ぶ! PyTorchによる因果推論・因果探索」の実装コードのリポジトリです

Deepspeechdistances ⭐ 55

Authors' implementation of DeepSpeech Distances.

Generative Adversarial Networks in Neural Machine Translation

Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)

Gan 70 Lines Of Julia ⭐ 47

A Knet implementation of MLP GAN for MNIST data.

Generative Model ⭐ 46

Repository for implementation of generative models with Tensorflow 1.x

Adversarial Jets ⭐ 45

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

Gans.tensorflow.v2 ⭐ 32

Gan Optimization Landscape ⭐ 29

code to reproduce the empirical results in the research paper

Hypergans ⭐ 27

Generative Adversarial Networks for synthetic hyperspectral data generation.

Paper Learning To Pivot ⭐ 27

Repository for the paper "Learning to Pivot with Adversarial Networks"

Unrolled Gans ⭐ 25

PyTorch Implementation of Unrolled Generative Adversarial Networks

Cosmogan ⭐ 24

Steam Stylegan2 Ada ⭐ 19

Train a StyleGAN2-ADA model on Colaboratory to generate Steam banners.

Machine_learning ⭐ 19

This is a library of machine learning. I designed it to learn more about machine learning.

Demo code for the paper ''Distributional Adversarial Networks''

Pytorch Tutorials ⭐ 17

🤖 | Learning PyTorch through official examples

Multi Agent Diverse Generative Adversarial Networks ⭐ 17

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

Logograms Gan ⭐ 17

Generating logogams from the movie "Arrival" using generative adversarial networks in Keras

Conditioning of three-dimensional geological and pore scale generative adversarial networks

Pytorch Mnist Gan ⭐ 15

Mcs2018_solution ⭐ 14

Anime Sketch Colorizer ⭐ 13

Automatic Sketch Colorization with reference image

Gan Anime Characters ⭐ 13

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Deep Learning ⭐ 13

Deep Learning section of the Algorithms in Machine Learning class at ISAE-Supaero

Ml Image Denoising ⭐ 12

Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder

Face Sketch To Image Generation Using Gan ⭐ 11

Face Sketch to Image Generation using Generative Adversarial Networks

Tf2 Keras Gan Notebooks ⭐ 11

Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)

Generative Adversarial Networks ⭐ 10

vanllia gan; conditional gan; dcgan; ebgan; lsgan; aae; Improved_gan

Qst Cgan ⭐ 10

Quantum state tomography with conditional generative adversarial networks

Deeplearning ⭐ 10

Deep Learning Concepts and Research Paper Implementations.

Adversarial Weighting for Domain Adaptation in Regression

Vector_matrix_capsulegan ⭐ 9

Implementation in the framework of my bachelor thesis: Generative Modelling using Capsule Generative Adversarial Networks

Changegan ⭐ 9

Replaceable Representation Learning with Generative Adversarial Networks

斯坦福李飞飞深度学习课程的课后作业，有3个部分Assignment #1: Image Classification, kNN, SVM, Softmax, Neural NetworkAssignment #2: Fully-Connected Nets, Batch Normalization, Dropout, Convolutional NetsAssignment #3: Image Captioning with Vanilla RNNs, Image Captioning with LSTMs, Network Visualization, Style Transfer, Generative Adversarial Networks官方资源（讲义、作业等）地址：http://cs231n.github.io/网易课

Adversarial Perturbations On Images And Videos ⭐ 8

Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".

Crystalgan ⭐ 8

Learning to Discover Crystallographic Structures with Generative Adversarial Networks

Adversarial Gene Expression ⭐ 8

Adversarial generation of gene expression data using Generative Adversarial Networks

Capstone Project Udacity ⭐ 8

Generative Adversarial Networks for Stock Market prediction

Deep Representation Of Visual Descriptions ⭐ 8

Deep representation of visual and textual descriptions using StackGAN

Stochastic_seismic_waveform_inversion ⭐ 8

Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"

Vanilla Gan ⭐ 8

PyTorch implementation of Generative Adversarial Networks by Ian Goodfellow et al. on the MNIST dataset.

Pytorch_study ⭐ 7

Semantic Segmentation using Adversarial Training

Image Colorization ⭐ 6

Coloring Black & White Images with the help of Autoencoder, Variational Autoencoder, Generative Adversarial Networks

Generative Models Papers With Implementation In Keras ⭐ 5

Implementation of Generative Adversarial Network Models in Keras (with Tensorflow backend)..

Attnganwithbert ⭐ 5

Implementation of a text to image generator in ATTNGAN paper improved using BERT transformer

NYU Research Project on GANs.

Neuro Ai Interface ⭐ 5

Use deep neural networks to synthesize the Neuroscore for evaluating Generative Adversarial Networks

100% RAW & Bio Generative Adversarial Framework for Weather Predictions

Mnist Gan ⭐ 5

Generative Adversarial Networks for the MNIST dataset

Deeppaper ⭐ 5

Machine Learning Study Warehouse

Gan Decoding Supplementary ⭐ 5

Supplementary material for the paper "Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images"

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