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Search results for deep learning variational autoencoder

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variational-autoencoder x

81 search results found

Pytorch Vae ⭐ 5,292

A Collection of Variational Autoencoders (VAE) in PyTorch.

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.

Scvi Tools ⭐ 1,179

Deep probabilistic analysis of single-cell and spatial omics data

Repo 2017 ⭐ 1,146

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

Variational Autoencoder ⭐ 1,138

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

Vae Cvae Mnist ⭐ 508

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Awesome Vaes ⭐ 448

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

Pytorch Rl ⭐ 356

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

Deep Generative Models For Natural Language Processing ⭐ 330

DGMs for NLP. A roadmap.

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

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

S Vae Pytorch ⭐ 214

Pytorch implementation of Hyperspherical Variational Auto-Encoders

S Vae Tf ⭐ 178

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

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

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

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

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

Unsupervised_anomaly_detection_brain_mri ⭐ 123

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

Synthesize3dviadepthorsil ⭐ 121

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

Vae Tensorflow ⭐ 115

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

Normalizing Flows ⭐ 108

Understanding normalizing flows

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

Deepscm ⭐ 103

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

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

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

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.

Awesome Denovo Papers ⭐ 53

Awesome De novo drugs design papers

Vae_householder_flow ⭐ 53

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

Li_emnlp_2017 ⭐ 51

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Openvae_continuallearning ⭐ 49

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Artificialintelligenceengines ⭐ 48

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Scipy2015 ⭐ 44

Talk for SciPy2015 "Deep Learning: Tips From The Road"

Autoencoders Variants ⭐ 40

Pytorch implementations of various types of autoencoders

Conditional_vae ⭐ 37

conditional variational autoencoder written in Keras [not actively maintained]

Midi Vae ⭐ 36

Flu Sequence Predictor ⭐ 34

An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.

Mixed-curvature Variational Autoencoders (ICLR 2020)

Deepmusicvstyle ⭐ 33

Code repo for ICME 2020 paper "Style-Conditioned Music Generation". VAE model that allows style-conditioned music generation.

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Keras Generating Sentences From A Continuous Space ⭐ 31

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

Vae Anomaly Detector ⭐ 29

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

Deep Active Inference Mc ⭐ 28

Deep active inference agents using Monte-Carlo methods

Qmldocker ⭐ 28

A docker container for quantum machine learning (QML) research

Tensorflow_deep_learning_models ⭐ 23

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

[KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation

Neatly packaged AI methods for explainable ECG analysis

Disent And Gen ⭐ 20

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

Deep_learning_fmri_eeg ⭐ 18

Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing

Continuous_bernoulli ⭐ 18

A program of simulator and test statistic for continuous Bernoulli distribution. More than that, it contains two Continuous Bernoulli populations and continuous Trinomial distribution for variational autoencoder model in deep learning.

Alphagan ⭐ 17

A PyTorch implementation of alpha-GAN

Haskell Vae ⭐ 17

Learning about Haskell with Variational Autoencoders

Accepted in MIDL 2020

Deepsign A Deep Learning Architecture For Sign Language Recognition ⭐ 17

SemI-SUpervised generative Autoencoder models for single cell data

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

Pirounet ⭐ 16

Conditional dance generator

Vae_based_segmentation ⭐ 15

Exploring variational-autoencoder-based semantic segmentation for analyzing CT-scans.

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

Dirichlet Vae ⭐ 14

Dirichlet-Variational Auto-Encoder by PyTorch

Lego Face Vae ⭐ 14

Variational autoencoder for Lego minifig faces

Deep Blueberry ⭐ 14

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Pytorch Mnist Vae ⭐ 14

Cvae_dial ⭐ 14

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

Deep Feature Consistent Variational Autoencoder In Tensorflow ⭐ 13

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

Font Vae ⭐ 12

Analysis of font shape using Variational Autoencoder with Convnets

A probabilistic model to cluster survival data in a variational deep clustering setting

Deep and machine learning for atomic-scale and mesoscale data

VAE + Quantile Networks for MNIST

Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"

Variational Auto Encoders for learning binding signatures of transcription factors

Gamma Variational Autoencoder ⭐ 8

Deep Latent Gamma Model / Gamma VAE

Emotion Guided Piano Accompaniment Generation ⭐ 7

This is the codes repository for the paper "Emotion-Guided Music Accompaniment Generation based on VAE".

Machine Learning Portfolio ⭐ 7

Assorted machine learning implementations for medical data

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

Vae Pytorch ⭐ 7

Implementation of Variational Autoencoder in Pytorch

Generative Models ⭐ 7

Tutorial on deep generative models with experiments on MNIST

Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.

Multiscale_variational_autoencoder ⭐ 6

Building a multiscale variational autoencoder

Tensorflow Advanced Techniques Solutions ⭐ 6

This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new

Physical Concepts Scinet ⭐ 6

This repository provides implementation of SciNet network described in arXiv:1807.10300v3

Deep Learning Readings ⭐ 6

Autoencoder Implementations ⭐ 6

This repository contains various Autoencoders implemented using TensorFlow

RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design

Randomcode ⭐ 6

Rannnnnnnnndoooooooommmmm Code

Amld2020 Workshop ⭐ 6

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

Convolutional Draw ⭐ 5

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

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