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Search results for variational autoencoder

variational-autoencoder x

351 search results found

Pytorch Vae ⭐ 5,292

A Collection of Variational Autoencoders (VAE) in PyTorch.

Tensorflow Generative Model Collections ⭐ 3,570

Collection of generative models in Tensorflow

Benchmark_vae ⭐ 1,597

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Bayesian Machine Learning ⭐ 1,587

Notebooks about Bayesian methods for machine learning

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.

Repo 2017 ⭐ 1,146

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Scvi Tools ⭐ 1,120

Deep probabilistic analysis of single-cell and spatial omics data

Variational Autoencoder ⭐ 1,114

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Variational Autoencoder ⭐ 1,049

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Next RecSys Library

Intro_dgm ⭐ 758

An Introduction to Deep Generative Modeling: Examples

Disentangling Vae ⭐ 668

Experiments for understanding disentanglement in VAE latent representations

Normalizing Flows ⭐ 520

PyTorch implementation of normalizing flow models

Vae Cvae Mnist ⭐ 508

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Bayesiandeeplearning Survey ⭐ 475

Bayesian Deep Learning: A Survey

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.

Tensorflow Mnist Vae ⭐ 379

Tensorflow implementation of variational auto-encoder for MNIST

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Pytorch Generative ⭐ 355

Easy generative modeling in PyTorch.

Deep Generative Models For Natural Language Processing ⭐ 330

DGMs for NLP. A roadmap.

Variational autoencoders for collaborative filtering

Icml18 Jtnn ⭐ 305

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Dalle Mtf ⭐ 296

Open-AI's DALL-E for large scale training in mesh-tensorflow.

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

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

Good Papers ⭐ 231

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Variational Recurrent Autoencoder Tensorflow ⭐ 226

A tensorflow implementation of "Generating Sentences from a Continuous Space"

S Vae Pytorch ⭐ 214

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Cada Vae Pytorch ⭐ 208

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Variational autoencoder for metagenomic binning

Video_prediction ⭐ 199

Stochastic Adversarial Video Prediction

S Vae Tf ⭐ 178

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Generative And Discriminative Voxel Modeling ⭐ 170

Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

Brain Inspired Replay ⭐ 169

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

Deep and Machine Learning for Microscopy

Variational Autoencoder for Dimensionality Reduction of Time-Series

Soft Intro Vae Pytorch ⭐ 157

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Numalogic ⭐ 156

Collection of operational time series ML models and tools

Vae_vampprior ⭐ 151

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

Vae Celeba ⭐ 150

Variational auto-encoder trained on celebA . All rights reserved.

Vae_anomaly_detection ⭐ 148

Codeslam ⭐ 146

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

Official implementation of Dynamical VAEs

Python World ⭐ 143

Pytorch implementation of Block Neural Autoregressive Flow

Variational Animal Motion Embedding - A tool for time series embedding and clustering

Musemorphose ⭐ 140

PyTorch implementation of MuseMorphose, a Transformer-based model for music style transfer.

Tensorflow Mnist Cvae ⭐ 134

Tensorflow implementation of conditional variational auto-encoder for MNIST

Vae Lstm For Anomaly Detection ⭐ 128

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

Unsupervised_anomaly_detection_brain_mri ⭐ 123

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Gumbel-Softmax Variational Autoencoder with Keras

Synthesize3dviadepthorsil ⭐ 121

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

Fusilli ⭐ 120

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

Vae Tensorflow ⭐ 115

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Unsupervised Real Image Super-Resolution via Variational AutoEncoder in CVPR2020

Variational Autoencoder Pytorch ⭐ 114

Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset

Dcgan_vae_torch ⭐ 110

An implementation of the deep convolutional generative adversarial network, combined with a varational autoencoder

Normalizing Flows ⭐ 108

Understanding normalizing flows

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Neuraldialog Larl ⭐ 107

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Rectorch ⭐ 104

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Deepscm ⭐ 103

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

Data Augmentation with Variational Autoencoders (TPAMI)

Mojitalk ⭐ 98

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Kalman Variational Auto-Encoder

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Deepwriting ⭐ 94

Code for `DeepWriting: Making Digital Ink Editable via Deep Generative Modeling` paper

Eccv16_attr2img ⭐ 90

Torch Implemention of ECCV'16 paper: Attribute2Image

Vae Text Generation ⭐ 88

Text Generation Using A Variational Autoencoder

Carla Ppo ⭐ 86

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

Awesome Vqvae ⭐ 80

📚 A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

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

Mmd Variational Autoencoder ⭐ 71

Sequential Variational Autoencoder ⭐ 71

Implementation of Sequential Variational Autoencoder

CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure

Contiguous Succotash ⭐ 70

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

Collaborativevae ⭐ 69

Variational Autoencoder with Arbitrary Conditioning

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

Gumbel_softmax_vae ⭐ 67

PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution

Implementation_variational Auto Encoder ⭐ 67

Simple implementation of Variational Autoencoder

Resnetvae ⭐ 66

Variational AutoEncoder + ResNet Transfer Learning

Variational Autoencoder trained by Feature Perceputal Loss

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019

Vae_tensorflow ⭐ 64

Variational autoencoder in Tensorflow

Unsuperviseddeeplearning Pytorch ⭐ 63

This repository tries to provide unsupervised deep learning models with Pytorch

Video_generator ⭐ 63

This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.

Deep Learning For Clustering In Bioinformatics ⭐ 62

Deep Learning-based Clustering Approaches for Bioinformatics

Vae Gumbel Softmax ⭐ 60

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

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

code for Syntax-Directed Variational Autoencoder that generates programs and molecues

Music Sketchnet ⭐ 55

ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm

Variational Recurrent Autoencoder ⭐ 55

Implementation of the VRAE

Tf Var Attention ⭐ 55

Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)

Pytorch_csx ⭐ 54

PyTorch Taipei & NTU CS+X 讀書會

Awesome Denovo Papers ⭐ 53

Awesome De novo drugs design papers

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