266 Open source projects that are alternatives of or similar to shoe-design-using-generative-adversarial-networks

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

Conditional out-of-distribution prediction

Semi-supervised Learning GAN

PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)

Tensorflow-based framework to ease training of generative models

Neural Relation Understanding: neural cardinality estimators for tabular data

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

My pytorch implementation for GAN

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

CSGNet for voxel based input

DCGAN image generator 🖼️.

A high-level framework for advanced deep learning with TensorFlow

Image completion using deep convolutional generative adversarial nets in tensorflow

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

GAN models with Anime.

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Train DCGAN with TPUs on Google Cloud

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Deep Learning sample programs using PyTorch in C++

Implementation of some basic GAN architectures in Keras

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Porting pytorch dcgan on FloydHub

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Listing my favorite research papers 📝 from different fields as I read them.

Image-to-image translation with conditional adversarial nets

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

爬虫+脸部识别+DCGAN脸部自动生成

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

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

GAN model using PyTorch

dcgan combined with vae in pytorch!

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Keras implementation of Deep Convolutional Generative Adversarial Networks

Variants of Vision Transformer and its downstream tasks

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

Awesome Generative Adversarial Networks with tensorflow

No description or website provided.

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

A basic and simple tool for code auto completion

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Interactive Image Generation via Generative Adversarial Networks

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Chainer implementation of recent GAN variants