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351 search results found

Neural Relational Topic Models ⭐ 17

Posterior Collapse List ⭐ 17

A curated list of techniques to avoid posterior collapse

Alphagan ⭐ 17

A PyTorch implementation of alpha-GAN

Variationalautoencoders ⭐ 17

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Deepsign A Deep Learning Architecture For Sign Language Recognition ⭐ 17

SemI-SUpervised generative Autoencoder models for single cell data

Simple Variational Autoencoder ⭐ 16

A VAE written entirely in Numpy/Cupy

Pirounet ⭐ 16

Conditional dance generator

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

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

Awesome Generative Modeling Under Data Constraints ⭐ 16

A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot

Probaforms ⭐ 16

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

Linguistic Style Transfer Pytorch ⭐ 16

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

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

Cellx Predict ⭐ 15

Explainable AI model of cell behavior

Pytorch_vae_cvae ⭐ 15

pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder

Hybrid_textvae ⭐ 15

TensorFlow implementation of "A Hybrid Convolutional Variational Autoencoder for Text Generation"

Vae_based_segmentation ⭐ 15

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

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

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.

Semantichashingweaksupervision ⭐ 15

The pyTorch implementation of two models described in Deep Semantic Text Hashing with Weak Supervision (SIGIR'18)

Tcsvt_2022_dgssc ⭐ 14

DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery, TCSVT, 2022

Cvae_dial ⭐ 14

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

Autoencoders ⭐ 14

Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras

Lego Face Vae ⭐ 14

Variational autoencoder for Lego minifig faces

Pytorch Mnist Vae ⭐ 14

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!

Dirichlet Vae ⭐ 14

Dirichlet-Variational Auto-Encoder by PyTorch

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

Unsupervised speech enhancement using DVAEs

Deep Feature Consistent Variational Autoencoder In Tensorflow ⭐ 13

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

Tf2 Vaeac ⭐ 13

Variational Autoencoder with Arbitrary Conditioning for Image Inpainting in TensorFlow 2.0

Semivaebrats ⭐ 13

Semi-supervised variational autoencoder for survival prediction

Keras Adversarial Autoencoders ⭐ 13

Experiments with Adversarial Autoencoders using Keras

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Detection

Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967

Cikm18 Lcva ⭐ 12

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Example of a Variational-Autoencoder using Theano blocks

Ligand_generation ⭐ 12

Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning

Lifelongvae ⭐ 12

Lifelong Variational Autoencoder

code for paper "Relational Variational Autoencoder for Link Prediction with Multimedia Data"

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

Code for the paper "A Stable Variational Autoencoder for Text Modelling"

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

Neural Variational Inference ⭐ 11

Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.

Adversarial Variational Bayes ⭐ 11

A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.

Binary Vae ⭐ 11

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

Variational autoencoder in Theano

Autoencoder ⭐ 11

VAE implementation in tensorflow

Autoencoders_tf2.0 ⭐ 11

Simple, denoising and variational autoencoders made in TensorFlow2.0

Pde Vae Pytorch ⭐ 11

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

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

Deep and machine learning for atomic-scale and mesoscale data

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.

Generic Expression Patterns ⭐ 11

Distinguishing between generic and experiment-specific gene expression signals.

[CoRL 2023] SOGMP++/SOGMP: Stochastic Occupancy Grid Map Prediction in Dynamic Scenes

Variational Autoencoder with Normalizing Flows

Implementation of Collaborative Variational Autoencoder for Recommder Systems KDD 2017

Persuasion_strategy_wvae ⭐ 10

Machine Learning In Genomes ⭐ 10

MIT Summer Research. Supervised by Manolis kellis

Label Free Xai ⭐ 10

This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.

Attend Infer Repeat Pytorch ⭐ 9

Attend Infer Repeat (AIR) in PyTorch

Deep_music ⭐ 9

Recurrent neural network in TensorFlow for generating novel monophonic melodies.

Variational Autoencoder ⭐ 9

Variational autoencoder implementation using Tensorflow and Python

Drug Interactions ⭐ 9

Project of drug interactions https://arxiv.org/pdf/2209.09941.pdf https://arxiv.org/pdf/2302.08680.pdf, NeurIPS 2022 (AI for Science)

Tss18 Robotsinmusicalimprovisation ⭐ 9

Robots in Musical Improvisation: Learning Algorithms Respecting Motion Constraints

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

This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)

Variational Autoencoder for Collaborative Filtering implementation in TensorFlow

Generative model for molecular distance geometry

source code for variational neural discourse relation recognizer

VAE + Quantile Networks for MNIST

Planar Flow Pytorch ⭐ 9

Pytorch implementation of Planar Flow

Vae Mxnet ⭐ 8

MXNet/Gluon implementation of the original (Gaussian) Variational Autoencoders (VAE)

Prot Bo 0 ⭐ 8

💊 Guiding directed protein evolution with Bayesian Optimization 💊

Generating Sentences Vae Lstm ⭐ 8

Unsupobjseg ⭐ 8

🔥Benchmarking Unsupervised Object Segmentation (NeurIPS 2022)

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Dvae Pytorch ⭐ 8

Denoising Variational Autoencoder

Uda Norm Vae ⭐ 8

Pytorch implementation for the paper: Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

Pmr2024 Vae ⭐ 8

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

Pytorchavitm ⭐ 8

PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)

Gamma Variational Autoencoder ⭐ 8

Deep Latent Gamma Model / Gamma VAE

Variational Auto Encoders for learning binding signatures of transcription factors

Variational Autoencoder ⭐ 7

Tensorflow implementation of Variational Auto-Encoder

Emotion Guided Piano Accompaniment Generation ⭐ 7

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

Adversarial General Voice Conversion ⭐ 7

Generative Models ⭐ 7

Tutorial on deep generative models with experiments on MNIST

Accompany Music Vae ⭐ 7

Using Magenta's MusicVAE to generate musical accompaniment.

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

Variational Autoencoder ⭐ 7

This repository contains code for VAE and CVAE using residual and inverse residual blocks

Image Compression ⭐ 7

Image compression using Variational Autoencoder and Generative Adversarial Networks.

Variational_autoencoder_ecg_heartbeat ⭐ 7

Variational Autoencoder for ECG heartbeat dataset

Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)

Variational_autoencoder ⭐ 7

Vae Pytorch ⭐ 7

Implementation of Variational Autoencoder in Pytorch

Variational Autoencoder for Molecules

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