Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for variational autoencoder
variational-autoencoder
x
351 search results found
Vae_householder_flow
⭐
53
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Avgn
⭐
52
A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.
Multimodal Vae Public
⭐
52
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
Stcn
⭐
51
STCN: Stochastic Temporal Convolutional Networks
Li_emnlp_2017
⭐
51
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
Vae_tacotron2
⭐
51
VAE Tacotron 2, an alternative of GST Tacotron
Openvae_continuallearning
⭐
49
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
How_to_generate_images_with_tensorflow_live
⭐
49
Bagel
⭐
49
IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder
Class Incremental Learning
⭐
48
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
Artificialintelligenceengines
⭐
48
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Variationaldeepsemantichashing
⭐
48
The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)
Variational Sparse Coding
⭐
47
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
Vae Pytorch
⭐
46
AE and VAE Playground in PyTorch
Vae Concrete
⭐
46
Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
Move
⭐
44
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
Vae_protein_function
⭐
44
Protein function prediction using a variational autoencoder
Scipy2015
⭐
44
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Source Filter Vae
⭐
42
Learning and controlling the source-filter representation of speech with a variational autoencoder
Scar
⭐
41
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
Pyroved
⭐
41
Invariant representation learning from imaging and spectral data
Autoencoders Variants
⭐
40
Pytorch implementations of various types of autoencoders
Wae Rnf Lm
⭐
40
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
Sivi
⭐
39
Use neural network to construct expressive hierarchical distribution; Optimizing a novel bound with theoretical guarantees; A fast and robust method with accurate uncertainty estimation. (ICML 2018)
Vae_gumble_softmax
⭐
38
pytorch implementation of VAE-Gumble-Softmax
Precision Recall Distributions
⭐
38
Assessing Generative Models via Precision and Recall (official repository)
Vae Tensorflow
⭐
37
(beta-)VAE Tensorflow
Conditional_vae
⭐
37
conditional variational autoencoder written in Keras [not actively maintained]
Midi Vae
⭐
36
Minimal_vae
⭐
36
A minimal implementation of an Variational Auto-Encoder
Cvae Anomalydetection Pytorch
⭐
36
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Cvaecaposr
⭐
36
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
Tt Vae Gan
⭐
34
Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
Flu Sequence Predictor
⭐
34
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
Playing_with_vae
⭐
34
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Shot Vae
⭐
33
The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"
Mvae
⭐
33
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.
Generative_continual_learning
⭐
33
Lossy Vae
⭐
32
Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs
Numpy Nn Model
⭐
32
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Gppvae
⭐
32
Gaussian Process Prior Variational Autoencoder
Ssvae
⭐
32
codes for Variational Autoencoder for Semi-supervised Text Classification
Vasc
⭐
32
Variational autoencoder for single cell RNA-seq datasets
Multi View Ae
⭐
32
Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
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
Eccv18_mtvae
⭐
31
Tensorflow Implementation of ECCV'18 paper: Multimodal Human Motion Synthesis
Ladder Vae Pytorch
⭐
31
Ladder Variational Autoencoders (LVAE) in PyTorch
Mfcvae
⭐
31
[NeurIPS 2021] 🏁 Multi-Facet Clustering Variatonal Autoencoders (MFCVAE) 🏁 A class of variational autoencoders to find multiple disentangled clusterings of data. Official PyTorch implementation.
Bi Vae
⭐
30
Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21
Cifarvae
⭐
30
Variational Auto Encoder
Chainer Variational Autoencoder
⭐
30
Variational AutoEncoder based on http://nbviewer.ipython.org/gist/duschendestroyer/
Cvae
⭐
30
github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"
Adavae
⭐
30
[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
Vae Latent Space Explorer
⭐
29
Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.
Vae Anomaly Detector
⭐
29
Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
Cos Cvae
⭐
29
Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)
Learnedsamplingdistributions
⭐
29
Qmldocker
⭐
28
A docker container for quantum machine learning (QML) research
Step
⭐
28
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Deep Active Inference Mc
⭐
28
Deep active inference agents using Monte-Carlo methods
Variational Nmt
⭐
28
Variational Neural Machine Translation System
Ctg Latentaes
⭐
27
Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
Tensorflow Autoencoders
⭐
27
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Flight Delays
⭐
27
Transfer learning for flight-delay prediction via variational autoencoders in Keras
Federated Pytorch Test
⭐
27
Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
Protein Vae
⭐
26
Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
Svae_cf
⭐
26
Sequential Variational Autoencoders for Collaborative Filtering
Mpvae
⭐
26
MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
Coop
⭐
25
☘️ Code for Convex Aggregation for Opinion Summarization (Iso et al; Findings of EMNLP 2021)
Semi Supervised Vae
⭐
25
Vae In Predicting Stock
⭐
24
VAE in feature extraction help predicting stock
Vae Torch
⭐
24
Variational autoencoder for anomaly detection (in PyTorch).
Vgrnn
⭐
24
Variational Graph Recurrent Neural Networks - PyTorch
Ntire22_inpainting
⭐
24
NTIRE 2022 - Image Inpainting Challenge
Vaesbd
⭐
24
Variational Autoencoder with Spatial Broadcast Decoder
Wavae
⭐
24
Realtime Variational Autoencoder built on top of libtorch and PureData
Minified Generative Models
⭐
24
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs.
Pcae
⭐
23
[KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation
Tensorflow_deep_learning_models
⭐
23
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Tensorflow Vae
⭐
23
TF Implementation of Convolutional Variational Autoencoder.
Lagvae
⭐
22
Lagrangian VAE
Ecgxai
⭐
21
Neatly packaged AI methods for explainable ECG analysis
Gradient Boosted Normalizing Flows
⭐
21
We got a stew going!
Recvae
⭐
20
The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
Disent And Gen
⭐
20
Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).
Srvae
⭐
20
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218
Molecular Vae
⭐
19
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
3d Brain Tumor Segmentation
⭐
19
Volumetric MRI brain tumor segmentation using autoencoder regularization
Ima Vae
⭐
19
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
Deep_learning_fmri_eeg
⭐
18
Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing
Classifying Vae Lstm
⭐
18
music generation with a classifying variational autoencoder (VAE) and LSTM
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.
Gdpp
⭐
18
Generator loss to reduce mode-collapse and to improve the generated samples quality.
Optimisation Python
⭐
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.
Deepsign A Deep Learning Architecture For Sign Language Recognition
⭐
17
Haskell Vae
⭐
17
Learning about Haskell with Variational Autoencoders
Sae
⭐
17
Accepted in MIDL 2020
Posterior Collapse List
⭐
17
A curated list of techniques to avoid posterior collapse
Variationalautoencoders
⭐
17
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
Related Searches
Python Variational Autoencoder (330)
101-200 of 351 search results
< Previous
Next >
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.