652 Open source projects that are alternatives of or similar to Generative Evaluation Prdc

Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.

The Simplest DCGAN Implementation

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

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

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Variational Autoencoder trained by Feature Perceputal Loss

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

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Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Header-only C++17 library for evaluating logical expressions.

The simplest implementation toward the idea of Re-cycle GAN

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Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

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Research Framework for easy and efficient training of GANs based on Pytorch

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

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Projecting images to latent space with StyleGAN2.

Pytorch implementation of pix2pix for various datasets.

Tensorflow implementation for Paper "Learning Residual Images for Face Attribute Manipulation"

Tutorial on GANs

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Diversidad Media is a platform to generate more diverse spaces, through Movies, Books, Music, and others. The project is in fast growth and there are many things to do. We are still covering the basics.

Invert the color of MNIST images with PyTorch

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

things I help(ed) to build

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

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

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

A simple command line (bash/shell) utility to estimate tasks using PERT [Program Evaluation and Review Technique]

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Generative Adversarial Network with Weight Normalization + ResNet

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

a MUSHRA compliant web audio API based experiment software

InstaGAN: Instance-aware Image Translation (ICLR 2019)

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

gail, infogail, hierarchical gail implementations

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Lagrangian VAE

Privacy-preserving generative deep neural networks support clinical data sharing

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

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

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

C# Eval Expression | Evaluate, Compile, and Execute C# code and expression at runtime.

BenchBot is a tool for seamlessly testing & evaluating semantic scene understanding tools in both realistic 3D simulation & on real robots

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

Compute FID scores with PyTorch.

Adversarially Learned Inference in Pytorch

Tensorflow implementation of 3D Generative Adversarial Network.