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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.

The implementation of Relativistic average GAN with Keras

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

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

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

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

Projecting images to latent space with StyleGAN2.

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.

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

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

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

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

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

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

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

Privacy-preserving generative deep neural networks support clinical data sharing

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

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

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Parsing and evaluating mathematical formulas given as strings.

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

A deep generative model library in Theano and Lasagne

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

Handwritten Chinese Characters Generation

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

videos, lectures, blogs for Deep Learning

Awesome Generative Adversarial Networks with tensorflow

Composable GAN framework with api and user interface

A clean and readable Pytorch implementation of CycleGAN

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

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

A curated list of awesome projects which use Machine Learning to generate synthetic content.

A deep ranking network that learns to find good compositions in a photograph.

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

A web porting for NVlabs' StyleGAN.

Protein function prediction using a variational autoencoder

Conversational AI Reading Materials

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Discovering Interpretable GAN Controls [NeurIPS 2020]

Give a portrait face, move the gaze up

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

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 "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

PyTorch Implementation of DCGAN trained on the CelebA dataset.