6622 Open source projects that are alternatives of or similar to Discogan Pytorch

A stable algorithm for GAN training

Spectral Normalization for Keras Dense and Convolution Layers

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Periodic Spatial Generative Adversarial Networks

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

코딩셰프의 3분 딥러닝, 케라스맛

On the "steerability" of generative adversarial networks

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

100-Days-Of-ML-Code中文版

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

DCGAN image generator 🖼️.

How to do Unsupervised Clustering with Keras

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

由淺入深的深度學習資源 Collection of deep learning materials for everyone

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

A collection of deep learning tutorials using Tensorflow and Python

a tensorflow implementation of WGAN

A pytorch implementation of MINE(Mutual Information Neural Estimation)

An implementation of Pix2Pix in Tensorflow for use with frames from films

A DCGAN that generate Cat pictures 🐱‍💻

Deploy and scale serverless machine learning app - in 4 steps.

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

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

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

Neural Relation Understanding: neural cardinality estimators for tabular data

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Face generator from sketches using cGAN (pix2pix) model

Simple Implementation of many GAN models with PyTorch.

pytorch 包教不包会

[CVPR2020] Adversarial Latent Autoencoders

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

DCGAN face generator 🧑.

Solve captcha without manually labeling a training set

Collection of generative models in Tensorflow

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Synthetic Data Generation for tabular, relational and time series data.

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

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

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Little More Advanced TensorFlow Implementations

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

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Speech Enhancement Generative Adversarial Network in TensorFlow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

A repository to keep track of all the code that I end up writing for my blog posts.

StarNet

PyTorch implementation of the CortexNet predictive model

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN