495 Open source projects that are alternatives of or similar to Opt Mmd

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

This toolbox is support material for the book on CNN (http://www.convolution.network).

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Semantic Image Inpainting

OpenMMLab Image and Video Editing Toolbox

Deep Learning libraries tested on images and time series

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

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

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

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

Generative Adversarial Networks and Autoencoders for 3D Shapes

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

DCGAN image generator 🖼️.

chainer implementation of pix2pix

Software that can autocomplete sketches as the user starts drawing.

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Personalized Fashion Recommendation and Generation

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Pytorch deep learning face frontalization model

Anime Generation

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Focal Frequency Loss for Generative Models

Generative adversarial training for generating synthetic tabular data.

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Unsupervised anomaly detection with generative model, keras implementation

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Aesara is a fork of the Theano library that is maintained by the PyMC developers. It was previously named Theano-PyMC.

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Awesome GAN for Medical Imaging

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Handwritten Digit Recognition using Machine Learning and Deep Learning

A PyTorch implementation for StyleGAN with full features.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Theano reimplementation of pixelCNN architecture

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

🎎 InfoGAN: Interpretable Representation Learning

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

A DCGAN to generate anime faces using custom mined dataset

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Page to PAGE Layout Analysis Tool

Tensorflow implementation of generative adversarial imitation learning

Text to image synthesis using thought vectors

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212