445 Open source projects that are alternatives of or similar to generative_deep_learning

Collection of generative models in Tensorflow

Repository for implementation of generative models with Tensorflow 1.x

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

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

Generative Adversarial Networks (GANs) resources sorted by citations

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Playing with MNIST. Machine Learning. Generative Models.

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Generative Adversarial Transformers

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

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

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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

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..

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

Speech Enhancement Generative Adversarial Network in TensorFlow

[CVPR2020] Adversarial Latent Autoencoders

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

Pytorch implementation of pix2pix for various datasets.

Variational Autoencoder trained by Feature Perceputal Loss

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Simple Implementation of many GAN models with PyTorch.

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

Machine learning, in numpy

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Network-to-Network Translation with Conditional Invertible Neural Networks

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

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

Guided Conditional Wasserstein GAN for De Novo Protein Design

Collection of generative models in Pytorch version.

Protein function prediction using a variational autoencoder

A Tensorfflow implementation of Attend, Infer, Repeat

Periodic Spatial Generative Adversarial Networks

Pytorch implementation of Generated Image Quality Assessment

No description or website provided.

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

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

Pure tensorflow implementation of progressive growing of GANs

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

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

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

DGMs for NLP. A roadmap.

Generator loss to reduce mode-collapse and to improve the generated samples quality.

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