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59 search results found

Generative Models ⭐ 6,010

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

Tensorflow Generative Model Collections ⭐ 3,570

Collection of generative models in Tensorflow

Diffusion Models Papers Survey Taxonomy ⭐ 2,411

Diffusion model papers, survey, and taxonomy

Zhusuan ⭐ 2,139

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Awesome Diffusion Models In Medical Imaging ⭐ 923

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Tensorflow2 Generative Models ⭐ 833

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Pytorch Vqvae ⭐ 679

Vector Quantized VAEs - PyTorch Implementation

Sentence Vae ⭐ 569

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

Semi Supervised Pytorch ⭐ 554

Implementations of various VAE-based semi-supervised and generative models in PyTorch

A library for developing deep generative models in a more concise, intuitive and extendable way

Awesome Vaes ⭐ 448

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

Generative Models ⭐ 414

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

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

Joint Vae ⭐ 384

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Pytorch Generative ⭐ 355

Easy generative modeling in PyTorch.

Cppn Gan Vae Tensorflow ⭐ 316

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

Generative_models_tutorial_with_demo ⭐ 268

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..

Portaspeech ⭐ 211

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

Tf Vqvae ⭐ 205

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

Vae Clustering ⭐ 191

Unsupervised clustering with (Gaussian mixture) VAEs

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs

Twostagevae ⭐ 160

Vae_vampprior ⭐ 151

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Diffusevae ⭐ 149

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

Vae Seq ⭐ 137

Variational Auto-Encoders in a Sequential Setting.

Implementation codes of deep generative models with Pixyz

Generative Models ⭐ 92

Comparison of Generative Models in Tensorflow

Semisupervised_vae ⭐ 89

Replication of Semi-Supervised Learning with Deep Generative Models

Attend_infer_repeat ⭐ 77

A Tensorfflow implementation of Attend, Infer, Repeat

Vae For Image Generation ⭐ 75

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

Grass_pytorch ⭐ 75

PyTorch Implementation of GRASS

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

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

Official PyTorch implementation of GENESIS and GENESIS-V2

Variational Autoencoder trained by Feature Perceputal Loss

Generative modeling of synthetic time series data and time series augmentations

A deep generative model library in Theano and Lasagne

Official implementation of the paper Stochastic Latent Residual Video Prediction

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

Vae_householder_flow ⭐ 53

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

Generative Model ⭐ 46

Repository for implementation of generative models with Tensorflow 1.x

Vae_protein_function ⭐ 44

Protein function prediction using a variational autoencoder

Lidar_generation ⭐ 41

Code for "Deep Generative Models for LiDAR Data"

Inpaintnet ⭐ 39

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

Precision Recall Distributions ⭐ 38

Assessing Generative Models via Precision and Recall (official repository)

SLAMP: Stochastic Latent Appearance and Motion Prediction

Eccv18_mtvae ⭐ 31

Tensorflow Implementation of ECCV'18 paper: Multimodal Human Motion Synthesis

Ladder Vae Pytorch ⭐ 31

Ladder Variational Autoencoders (LVAE) in PyTorch

Cifarvae ⭐ 30

Variational Auto Encoder

Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"

Ctg Latentaes ⭐ 27

Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.

Generative_models ⭐ 27

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

SAGA: Stochastic Whole-Body Grasping with Contact

NP DRAW paper released code

Lr Livae ⭐ 20

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

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

Disent And Gen ⭐ 20

Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).

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

Pytorch Vae ⭐ 18

A minimal pytorch implementation of VAE, IWAE, MIWAE

Mol Cycle Gan ⭐ 17

Mol-CycleGAN - a generative model for molecular optimization

A repository providing implementations of generative models in various frameworks.

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

Char Vae ⭐ 17

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.

Generativemodels.jl ⭐ 16

Generative Models with trainable conditional distributions in Julia!

Simple Variational Autoencoder ⭐ 16

A VAE written entirely in Numpy/Cupy

Generative_deep_learning ⭐ 15

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Generative Model For Image Generation ⭐ 14

Repository contains code for artificial image generation using generative models, namely, Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN).

Pytorch Mnist Vae ⭐ 14

Exemplar Vae ⭐ 13

Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation

Deep Feature Consistent Variational Autoencoder In Tensorflow ⭐ 13

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

Style Vae ⭐ 13

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

Stretchbev ⭐ 13

Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"

Generative Models Collection ⭐ 12

PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN

Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).

Paccmann_chemistry ⭐ 11

Generative models of chemical data for PaccMann^RL

Dlmodels ⭐ 11

Personal experiments and implementation examples of deep learning papers.

Generative_model_testbed.tensorflow ⭐ 10

Experimental framework for GAN/VAE research

Code for "MIM: Mutual Information Machine" paper.

Attend Infer Repeat Pytorch ⭐ 9

Attend Infer Repeat (AIR) in PyTorch

VAE + Quantile Networks for MNIST

Imputation Dgm ⭐ 9

Code for the paper "Improving Missing Data Imputation with Deep Generative Models"

Vectorquantizedvae ⭐ 8

A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"

OpenNIG is a toolkit that generates new images from a given distribution.

Code for "It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment"

Trajectories ⭐ 7

Search over discrete generative models. Presented at the PGMRL Workshop at ICML 2018

Accompany Music Vae ⭐ 7

Using Magenta's MusicVAE to generate musical accompaniment.

Vae Pytorch ⭐ 7

Implementation of Variational Autoencoder in Pytorch

Deep Generative Models ⭐ 6

Deep generative models in Tensorflow

Nnabla_generative_models ⭐ 6

Collection of generative models, e.g. GAN, VAE in NNabla

Awesome Autoencoders For Representation Learning ⭐ 6

A curated list on the literature of autoencoders for representation learning.

Vae Tensorflow ⭐ 6

TensorFlow implementation of Auto-Encoding Variational Bayes.

Amld2020 Workshop ⭐ 6

This repo contains workshop material for Applied Machine Learning Days 2020 conference

Paccmann_generator ⭐ 6

Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).

Keras Mnist Vae ⭐ 5

Pytorch Mnist Cvae ⭐ 5

Keras Mnist Cvae ⭐ 5

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