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41 search results found

Tensorflow Generative Model Collections ⭐ 3,570

Collection of generative models in Tensorflow

Continual Learning ⭐ 1,190

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Awesome Vaes ⭐ 448

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

Focal Frequency Loss ⭐ 407

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Probabilistic_unet ⭐ 400

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Pytorch Generative ⭐ 355

Easy generative modeling in PyTorch.

Deep Generative Models For Natural Language Processing ⭐ 330

DGMs for NLP. A roadmap.

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..

Neuraldialog Cvae ⭐ 261

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Vae_vampprior ⭐ 151

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

Official implementation of Dynamical VAEs

Synthesize3dviadepthorsil ⭐ 121

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

Eccv16_attr2img ⭐ 90

Torch Implemention of ECCV'16 paper: Attribute2Image

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

Sequential Variational Autoencoder ⭐ 71

Implementation of Sequential Variational Autoencoder

Variational Autoencoder trained by Feature Perceputal Loss

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)

Awesome Denovo Papers ⭐ 53

Awesome De novo drugs design papers

Multimodal Vae Public ⭐ 52

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Li_emnlp_2017 ⭐ 51

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Vae_protein_function ⭐ 44

Protein function prediction using a variational autoencoder

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

Precision Recall Distributions ⭐ 38

Assessing Generative Models via Precision and Recall (official repository)

Shot Vae ⭐ 33

The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"

Generative_continual_learning ⭐ 33

Eccv18_mtvae ⭐ 31

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

Ladder Vae Pytorch ⭐ 31

Ladder Variational Autoencoders (LVAE) in PyTorch

github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"

Cifarvae ⭐ 30

Variational Auto Encoder

Ctg Latentaes ⭐ 27

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

Minified Generative Models ⭐ 24

Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs.

Vae Torch ⭐ 24

Variational autoencoder for anomaly detection (in PyTorch).

Disent And Gen ⭐ 20

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

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

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

Posterior Collapse List ⭐ 17

A curated list of techniques to avoid posterior collapse

Simple Variational Autoencoder ⭐ 16

A VAE written entirely in Numpy/Cupy

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.

Probaforms ⭐ 16

Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface

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

Orgainzed Digital Intelligent Network (O.D.I.N)

Pytorch Mnist Vae ⭐ 14

Unsupervised speech enhancement using DVAEs

Deep Feature Consistent Variational Autoencoder In Tensorflow ⭐ 13

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

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

Overview Of Variational Autoencoder Based Generative Models ⭐ 11

This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and training the mentioned models on celeb_a.

VAE + Quantile Networks for MNIST

Attend Infer Repeat Pytorch ⭐ 9

Attend Infer Repeat (AIR) in PyTorch

Unsupobjseg ⭐ 8

🔥Benchmarking Unsupervised Object Segmentation (NeurIPS 2022)

Variational Autoencoder ⭐ 7

Tensorflow implementation of Variational Auto-Encoder

Accompany Music Vae ⭐ 7

Using Magenta's MusicVAE to generate musical accompaniment.

Generative Models ⭐ 7

Tutorial on deep generative models with experiments on MNIST

Vae Pytorch ⭐ 7

Implementation of Variational Autoencoder in Pytorch

The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders

Vae Tensorflow ⭐ 6

TensorFlow implementation of Auto-Encoding Variational Bayes.

Hierarchical Few Shot Generative Models ⭐ 6

Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022

Amld2020 Workshop ⭐ 6

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

Autoencoder Implementations ⭐ 6

This repository contains various Autoencoders implemented using TensorFlow

Convolutional Draw ⭐ 5

Tensorflow implementation of Convolutional DRAW by Gregor et al. (2016)

Generative Models ⭐ 5

Repository for self-teaching of Generative Models and its applications.

Pytorch Mnist Cvae ⭐ 5

Demo Cvae ⭐ 5

An interactive demonstration of using a deep conditional variational autoencoder to generate synthetic MNIST style handwriting digit

Keras Mnist Cvae ⭐ 5

Keras Mnist Vae ⭐ 5

Related Searches

Python Generative Model (580)

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