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

Pytorch deep learning face frontalization model

Keras community contributions

Anime Generation

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Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

A web porting for NVlabs' StyleGAN.

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

GANs for time series generation in pytorch

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Using Machine Learning to predict the type of exercise from movement data

Generative adversarial training for generating synthetic tabular data.

Projecting images to latent space with StyleGAN2.

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

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Unsupervised anomaly detection with generative model, keras implementation

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

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

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

Spectral Normalization for Keras Dense and Convolution Layers

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

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

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

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

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

chainer implementation of pix2pix

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

Page to PAGE Layout Analysis Tool

Masking GAN - Image attribute mask generation

Disentangled Makeup Transfer with Generative Adversarial Network

Awesome GAN for Medical Imaging

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

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

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

Handwritten Digit Recognition using Machine Learning and Deep Learning

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

A PyTorch implementation for StyleGAN with full features.

Give a portrait face, move the gaze up

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Theano reimplementation of pixelCNN architecture

Compute FID scores with PyTorch.

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

This is now the official location of the Merlin project.

🎎 InfoGAN: Interpretable Representation Learning

Conditional GAN for Anime face generation.

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

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

A DCGAN to generate anime faces using custom mined dataset

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

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

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

Repository for the Deep One-Class Classification ICML 2018 paper