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Search results for deep learning variational autoencoder
deep-learning
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variational-autoencoder
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89 search results found
Pytorch Vae
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5,292
A Collection of Variational Autoencoders (VAE) in PyTorch.
Continual Learning
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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
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1,146
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Scvi Tools
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1,120
Deep probabilistic analysis of single-cell and spatial omics data
Variational Autoencoder
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1,114
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Variational Autoencoder
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1,049
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Neurec
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861
Next RecSys Library
Intro_dgm
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758
An Introduction to Deep Generative Modeling: Examples
Disentangling Vae
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668
Experiments for understanding disentanglement in VAE latent representations
Vae Cvae Mnist
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508
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Bayesiandeeplearning Survey
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475
Bayesian Deep Learning: A Survey
Awesome Vaes
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448
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Pytorch Rl
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356
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Deep Generative Models For Natural Language Processing
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330
DGMs for NLP. A roadmap.
Neuraldialog Cvae
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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
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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
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214
Pytorch implementation of Hyperspherical Variational Auto-Encoders
S Vae Tf
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178
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Generative And Discriminative Voxel Modeling
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170
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
Brain Inspired Replay
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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).
Atomai
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164
Deep and Machine Learning for Microscopy
Vde
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161
Variational Autoencoder for Dimensionality Reduction of Time-Series
Numalogic
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156
Collection of operational time series ML models and tools
Vae_vampprior
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151
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Codeslam
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146
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Dvae
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143
Official implementation of Dynamical VAEs
Vame
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140
Variational Animal Motion Embedding - A tool for time series embedding and clustering
Unsupervised_anomaly_detection_brain_mri
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123
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Synthesize3dviadepthorsil
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121
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
Vae Tensorflow
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115
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
Normalizing Flows
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108
Understanding normalizing flows
Neuraldialog Larl
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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
Tybalt
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107
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Deepscm
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103
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Kvae
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94
Kalman Variational Auto-Encoder
Vaegan
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81
An implementation of VAEGAN (variational autoencoder + generative adversarial network).
Calc2.0
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70
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
Nvae
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67
An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
Unsuperviseddeeplearning Pytorch
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63
This repository tries to provide unsupervised deep learning models with Pytorch
Video_generator
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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
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62
Deep Learning-based Clustering Approaches for Bioinformatics
Vae Gumbel Softmax
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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.
Music Sketchnet
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55
ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Awesome Denovo Papers
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53
Awesome De novo drugs design papers
Vae_householder_flow
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53
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Li_emnlp_2017
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51
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
Openvae_continuallearning
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49
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Artificialintelligenceengines
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48
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Variationaldeepsemantichashing
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48
The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)
Scipy2015
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44
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Source Filter Vae
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42
Learning and controlling the source-filter representation of speech with a variational autoencoder
Autoencoders Variants
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40
Pytorch implementations of various types of autoencoders
Conditional_vae
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37
conditional variational autoencoder written in Keras [not actively maintained]
Midi Vae
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36
Flu Sequence Predictor
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34
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
Deepmusicvstyle
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33
Code repo for ICME 2020 paper "Style-Conditioned Music Generation". VAE model that allows style-conditioned music generation.
Mvae
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33
Mixed-curvature Variational Autoencoders (ICLR 2020)
Numpy Nn Model
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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
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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
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29
Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
Qmldocker
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28
A docker container for quantum machine learning (QML) research
Deep Active Inference Mc
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28
Deep active inference agents using Monte-Carlo methods
Federated Pytorch Test
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27
Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
Tensorflow_deep_learning_models
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23
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Pcae
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22
[KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation
Ecgxai
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21
Neatly packaged AI methods for explainable ECG analysis
Disent And Gen
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20
Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).
Molecular Vae
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19
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
Continuous_bernoulli
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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.
Deep_learning_fmri_eeg
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18
Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing
Optimisation Python
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18
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
Sae
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17
Accepted in MIDL 2020
Haskell Vae
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17
Learning about Haskell with Variational Autoencoders
Deepsign A Deep Learning Architecture For Sign Language Recognition
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17
Alphagan
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17
A PyTorch implementation of alpha-GAN
Sisua
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16
SemI-SUpervised generative Autoencoder models for single cell data
Pirounet
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16
Conditional dance generator
Hvae
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16
An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.
Gd Vae
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15
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
Odin Ai
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15
Orgainzed Digital Intelligent Network (O.D.I.N)
Vae_based_segmentation
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15
Exploring variational-autoencoder-based semantic segmentation for analyzing CT-scans.
Pytorch Mnist Vae
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14
Dirichlet Vae
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14
Dirichlet-Variational Auto-Encoder by PyTorch
Lego Face Vae
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14
Variational autoencoder for Lego minifig faces
Cvae_dial
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14
CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Gee
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14
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Deep Blueberry
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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!
Deep Feature Consistent Variational Autoencoder In Tensorflow
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13
implement Deep Feature Consisten Variational Autoencoder in Tensorflow
Font Vae
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12
Analysis of font shape using Variational Autoencoder with Convnets
Vae
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12
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
Atomai
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11
Deep and machine learning for atomic-scale and mesoscale data
Vadesc
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11
A probabilistic model to cluster survival data in a variational deep clustering setting
Ovis
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9
Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"
Aiqn Vae
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9
VAE + Quantile Networks for MNIST
Bindvae
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8
Variational Auto Encoders for learning binding signatures of transcription factors
Gamma Variational Autoencoder
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8
Deep Latent Gamma Model / Gamma VAE
Emotion Guided Piano Accompaniment Generation
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7
This is the codes repository for the paper "Emotion-Guided Music Accompaniment Generation based on VAE".
Vae Pytorch
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7
Implementation of Variational Autoencoder in Pytorch
Generative Models
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7
Tutorial on deep generative models with experiments on MNIST
Activa
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7
The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders
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