Topic: "variational-autoencoder"
hwalsuklee/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
Language: Python - Size: 4.57 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 3,923 - Forks: 848
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Language: Python - Size: 42.5 MB - Last synced at: 26 days ago - Pushed at: 11 months ago - Stars: 1,914 - Forks: 174
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1,864 - Forks: 472
GMvandeVen/continual-learning
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.
Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 1,709 - Forks: 328
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
Language: Python - Size: 144 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1,400 - Forks: 397
RubensZimbres/Repo-2017
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Language: Python - Size: 40.4 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 1,191 - Forks: 677
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Language: Python - Size: 94.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1,167 - Forks: 258
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
Language: Jupyter Notebook - Size: 7.57 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1,147 - Forks: 184
wubinzzu/NeuRec
Next RecSys Library
Language: Python - Size: 17.6 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 1,057 - Forks: 220
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
Language: Python - Size: 7.44 MB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 845 - Forks: 126
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Size: 16.1 MB - Last synced at: 8 days ago - Pushed at: almost 4 years ago - Stars: 819 - Forks: 75
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
Language: Python - Size: 222 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 816 - Forks: 145
EndlessSora/focal-frequency-loss
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Language: Python - Size: 4.93 MB - Last synced at: 13 days ago - Pushed at: 10 months ago - Stars: 662 - Forks: 64
timbmg/VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Language: Python - Size: 1.11 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 633 - Forks: 108
dawenl/vae_cf
Variational autoencoders for collaborative filtering
Language: Jupyter Notebook - Size: 49.8 KB - Last synced at: 7 months ago - Pushed at: over 7 years ago - Stars: 530 - Forks: 157
hwalsuklee/tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
Language: Python - Size: 374 KB - Last synced at: 21 days ago - Pushed at: about 8 years ago - Stars: 496 - Forks: 180
lin-shuyu/VAE-LSTM-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 471 - Forks: 87
navneet-nmk/pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Language: Python - Size: 97.1 MB - Last synced at: 18 days ago - Pushed at: almost 6 years ago - Stars: 446 - Forks: 55
EleutherAI/DALLE-mtf
Open-AI's DALL-E for large scale training in mesh-tensorflow.
Language: Python - Size: 272 KB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 433 - Forks: 46
nicola-decao/s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
Language: Python - Size: 27.3 KB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 352 - Forks: 58
omerbsezer/Generative_Models_Tutorial_with_Demo 📦
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..
Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 335 - Forks: 41
snakeztc/NeuralDialog-CVAE
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Language: OpenEdge ABL - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 308 - Forks: 86
alexlee-gk/video_prediction
Stochastic Adversarial Video Prediction
Language: Python - Size: 23.5 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 304 - Forks: 66
sksq96/pytorch-vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Language: Jupyter Notebook - Size: 9.99 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 299 - Forks: 64
rese1f/Awesome-VQVAE
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
Size: 134 KB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 288 - Forks: 10
edgarschnfld/CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Language: Python - Size: 39.7 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 286 - Forks: 56
TimyadNyda/Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction
Language: Python - Size: 37.1 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 278 - Forks: 59
GMvandeVen/brain-inspired-replay
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Language: Python - Size: 24.5 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 237 - Forks: 65
Chung-I/Variational-Recurrent-Autoencoder-Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Language: Python - Size: 1.99 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 230 - Forks: 74
nicola-decao/s-vae-tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 219 - Forks: 41
sony/sqvae
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Language: Python - Size: 158 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 187 - Forks: 23
StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Language: Python - Size: 97.7 KB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 185 - Forks: 33
hsinyilin19/ResNetVAE
Variational AutoEncoder + ResNet Transfer Learning
Language: Python - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 185 - Forks: 28
taldatech/soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 185 - Forks: 28
msmbuilder/vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
Language: Jupyter Notebook - Size: 781 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 183 - Forks: 44
yzwxx/vae-celebA
Variational auto-encoder trained on celebA . All rights reserved.
Language: Python - Size: 2.71 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 182 - Forks: 44
silviutroscot/CodeSLAM
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Language: Python - Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 180 - Forks: 23
nicola-decao/BNAF
Pytorch implementation of Block Neural Autoregressive Flow
Language: Python - Size: 219 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 178 - Forks: 34
numaproj/numalogic
Collection of operational time series ML models and tools
Language: Python - Size: 46.3 MB - Last synced at: 23 days ago - Pushed at: 8 months ago - Stars: 171 - Forks: 31
greenelab/tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Language: HTML - Size: 99.3 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 169 - Forks: 62
YatingMusic/MuseMorphose
PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.
Language: Python - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 163 - Forks: 30
Amir-Arsalan/Synthesize3DviaDepthOrSil
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
Language: Lua - Size: 138 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 163 - Forks: 31
mhw32/multimodal-vae-public
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
Language: Python - Size: 3.9 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 158 - Forks: 36
LINCellularNeuroscience/VAME
Variational Animal Motion Embedding - A tool for time series embedding and clustering
Language: Python - Size: 24.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 155 - Forks: 56
tuanad121/Python-WORLD
Language: Python - Size: 14.9 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 152 - Forks: 32
makgyver/rectorch
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Language: Python - Size: 3.25 MB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 151 - Forks: 19
hwalsuklee/tensorflow-mnist-CVAE
Tensorflow implementation of conditional variational auto-encoder for MNIST
Language: Python - Size: 590 KB - Last synced at: 2 months ago - Pushed at: about 8 years ago - Stars: 150 - Forks: 41
florencejt/fusilli
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 🌸
Language: Python - Size: 987 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 146 - Forks: 12
snakeztc/NeuralDialog-LaRL
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
Language: Python - Size: 22.2 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 143 - Forks: 26
clementchadebec/pyraug
Data Augmentation with Variational Autoencoders (TPAMI)
Language: Python - Size: 10.3 MB - Last synced at: 23 days ago - Pushed at: almost 3 years ago - Stars: 140 - Forks: 14
FelixMohr/Deep-learning-with-Python 📦
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 5 months ago - Pushed at: about 7 years ago - Stars: 139 - Forks: 106
EdoardoBotta/RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Language: Python - Size: 123 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 135 - Forks: 16
abdulfatir/normalizing-flows
Understanding normalizing flows
Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 132 - Forks: 20
simonkamronn/kvae
Kalman Variational Auto-Encoder
Language: Python - Size: 384 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 130 - Forks: 34
shaohua0116/VAE-Tensorflow
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 127 - Forks: 41
tgsmith61591/smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
Language: Python - Size: 81 MB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 126 - Forks: 26
claude-zhou/MojiTalk
Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
Language: Python - Size: 70.3 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 123 - Forks: 22
rezacsedu/Deep-Learning-for-Clustering-in-Bioinformatics
Deep Learning-based Clustering Approaches for Bioinformatics
Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 117 - Forks: 31
chaitanya100100/VAE-for-Image-Generation
Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
Language: Python - Size: 137 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 111 - Forks: 24
ilya-shenbin/RecVAE
The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
Language: Python - Size: 23.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 105 - Forks: 28
markhliu/DGAI
Learn Generative AI with PyTorch (Manning Publications, 2024)
Language: Jupyter Notebook - Size: 99.3 MB - Last synced at: 20 days ago - Pushed at: 21 days ago - Stars: 100 - Forks: 45
rpng/calc2.0
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
Language: Python - Size: 30.1 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 97 - Forks: 17
wuga214/IMPLEMENTATION_Variational-Auto-Encoder
Simple implementation of Variational Autoencoder
Language: Python - Size: 44.1 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 97 - Forks: 25
xcyan/eccv16_attr2img
Torch Implemention of ECCV'16 paper: Attribute2Image
Language: Lua - Size: 85 KB - Last synced at: 2 days ago - Pushed at: over 6 years ago - Stars: 96 - Forks: 34
VGraphRNN/VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
Language: Python - Size: 9.55 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 95 - Forks: 31
emreaksan/deepwriting
Code for `DeepWriting: Making Digital Ink Editable via Deep Generative Modeling` paper
Language: Python - Size: 1.06 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 94 - Forks: 29
anitan0925/vaegan
An implementation of VAEGAN (variational autoencoder + generative adversarial network).
Language: Python - Size: 308 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 91 - Forks: 19
asarigun/awesome-denovo-papers
Awesome De novo drugs design papers
Size: 57.6 KB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 87 - Forks: 12
sajadn/posterior-collapse-list
A curated list of techniques to avoid posterior collapse
Size: 106 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 87 - Forks: 10
msmsajjadi/precision-recall-distributions
Assessing Generative Models via Precision and Recall (official repository)
Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 86 - Forks: 11
rishikksh20/vae_tacotron2
VAE Tacotron 2, an alternative of GST Tacotron
Language: Python - Size: 63.5 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 85 - Forks: 29
samsinai/VAE_protein_function
Protein function prediction using a variational autoencoder
Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 85 - Forks: 27
arman-aminian/lofi-generator
Music(Lo-fi) generation using deep learning techniques.
Language: Jupyter Notebook - Size: 52.3 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 83 - Forks: 12
RetroCirce/Music-SketchNet
ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Language: Jupyter Notebook - Size: 4.01 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 82 - Forks: 12
psipred/protein-vae
Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
Language: Python - Size: 27.3 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 81 - Forks: 17
RasmussenLab/MOVE
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
Language: Jupyter Notebook - Size: 540 MB - Last synced at: 8 days ago - Pushed at: 8 months ago - Stars: 79 - Forks: 27
GMvandeVen/class-incremental-learning
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).
Language: Python - Size: 1.51 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 77 - Forks: 15
Lotfollahi-lab/nichecompass
End-to-end analysis of spatial multi-omics data
Language: Python - Size: 1.43 GB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 76 - Forks: 9
podgorskiy/VAE
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
Language: Python - Size: 5.17 MB - Last synced at: 8 days ago - Pushed at: over 6 years ago - Stars: 74 - Forks: 13
Nemzy/video_generator
This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.
Language: Jupyter Notebook - Size: 61.9 MB - Last synced at: about 1 month ago - Pushed at: almost 8 years ago - Stars: 73 - Forks: 41
AkiRusProd/numpy-nn-model
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Language: Python - Size: 335 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 72 - Forks: 5
UMCUtrecht-ECGxAI/ecgxai
Neatly packaged AI methods for explainable ECG analysis
Language: Python - Size: 611 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 71 - Forks: 17
vithursant/VAE-Gumbel-Softmax
An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
Language: Python - Size: 376 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 71 - Forks: 17
h3lio5/linguistic-style-transfer-pytorch
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Language: Python - Size: 156 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 68 - Forks: 21
HareeshBahuleyan/tf-var-attention
Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)
Language: Python - Size: 20.2 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 68 - Forks: 18
brunnergino/MIDI-VAE
Language: Python - Size: 118 MB - Last synced at: 11 months ago - Pushed at: about 6 years ago - Stars: 66 - Forks: 16
aksub99/molecular-vae
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 65 - Forks: 16
o-tawab/Variational-Autoencoder-pytorch
Implementation of a convolutional Variational-Autoencoder model in pytorch.
Language: Python - Size: 16.5 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 65 - Forks: 25
ioangatop/srVAE
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Language: Python - Size: 1.81 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 64 - Forks: 11
snakers4/playing_with_vae
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 64 - Forks: 13
JGuymont/vae-anomaly-detector
Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
Language: Python - Size: 207 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 63 - Forks: 19
MrtnMndt/OpenVAE_ContinualLearning
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Language: Python - Size: 1.85 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 63 - Forks: 12
kingofspace0wzz/wae-rnf-lm
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
Language: Python - Size: 8.08 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 62 - Forks: 3
toru34/li_emnlp_2017
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
Language: Python - Size: 29.3 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 60 - Forks: 17
ReyhaneAskari/pytorch_experiments
Auto Encoders in PyTorch
Language: Python - Size: 21.5 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 59 - Forks: 25
duanzhiihao/lossy-vae
Authors' PyTorch implementation of lossy image compression methods based on hierarchical VAEs
Language: Jupyter Notebook - Size: 4.15 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 58 - Forks: 8
oskopek/mvae
Mixed-curvature Variational Autoencoders (ICLR 2020)
Language: Python - Size: 243 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 13
unsuthee/VariationalDeepSemanticHashing
The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)
Language: Python - Size: 32.6 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 54 - Forks: 15
syorami/Autoencoders-Variants
Pytorch implementations of various types of autoencoders
Language: Python - Size: 3.86 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 54 - Forks: 19
mingzhang-yin/SIVI
A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural networks and hierarchical distribution (ICML 2018).
Language: MATLAB - Size: 740 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 53 - Forks: 14
