72 results found Sort:

hwalsuklee
tensorflow-generative-model-collections hwalsuklee
865
3.9k
apache-2.0
160
Collection of generative models in Tensorflow
gan vae cgan cvae wgan acgan began ebgan lsgan mnist dragan infogan wgan-gp tensorflow fashion-mnist improved-wgan generative-model generative-models variational-autoencoder generative-adversarial-networks
Created 2017-08-24
76 commits to master branch, last one 6 years ago
krasserm
bayesian-machine-learning krasserm
455
1.8k
apache-2.0
75
Notebooks about Bayesian methods for machine learning
bayesian-methods machine-learning gaussian-processes bayesian-optimization variational-autoencoder bayesian-machine-learning
Created 2018-03-19
136 commits to dev branch, last one 2 months ago
clementchadebec
benchmark_VAE clementchadebec
155
1.7k
apache-2.0
18
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
vae vq-vae pytorch vae-gan beta-vae pixel-cnn comparison vae-pytorch benchmarking reproducibility normalizing-flows vae-implementation reproducible-research variational-autoencoder wasserstein-autoencoder
Created 2021-10-02
371 commits to main branch, last one about a month ago
GMvandeVen
continual-learning GMvandeVen
305
1.5k
mit
29
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.
icarl replay distillation deep-learning generative-models lifelong-learning continual-learning incremental-learning replay-through-feedback variational-autoencoder gradient-episodic-memory task-incremental-learning artificial-neural-networks class-incremental-learning domain-incremental-learning elastic-weight-consolidation
Created 2018-09-26
41 commits to master branch, last one 2 months ago
RubensZimbres
Repo-2017 RubensZimbres
682
1.2k
unknown
125
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
nlp glove keras t-sne opencv segnet word2vec resnet-50 autoencoder keras-layer keras-models deep-learning svm-classifier anomaly-detection sentiment-analysis denoising-autoencoders variational-autoencoder latent-dirichlet-allocation natural-language-processing generative-adversarial-network
Created 2016-12-17
320 commits to master branch, last one 2 years ago
scverse
scvi-tools scverse
342
1.1k
bsd-3-clause
28
Deep probabilistic analysis of single-cell and spatial omics data
scverse cite-seq scrna-seq deep-learning human-cell-atlas variational-bayes single-cell-rna-seq single-cell-genomics deep-generative-model variational-autoencoder
Created 2017-09-06
3,993 commits to main branch, last one 2 days ago
jaanli
variational-autoencoder jaanli
255
1.1k
mit
34
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
vae deep pytorch learning tensorflow deep-learning machine-learning deep-neural-networks unsupervised-learning variational-inference variational-autoencoder autoregressive-neural-networks probabilistic-graphical-models
Created 2016-08-15
59 commits to master branch, last one about a month ago
wubinzzu
NeuRec wubinzzu
216
1.0k
unknown
42
Next RecSys Library
gcn sequential tensorflow autoencoder deep-learning social-network neural-networks recommender-systems adversarial-learning collaborative-filtering variational-autoencoder convolutional-neural-networks
Created 2019-02-25
217 commits to master branch, last one 2 years ago
jmtomczak
intro_dgm jmtomczak
153
900
mit
26
"Deep Generative Modeling": Introductory Examples
pytorch deep-learning generative-ai energy-based-model neural-compression flow-based-modeling autoregressive-modeling variational-autoencoder deep-generative-modelling generative-adversarial-network score-based-generative-modeling
Created 2021-01-23
64 commits to main branch, last one about a month ago
YannDubs
disentangling-vae YannDubs
145
771
other
15
Experiments for understanding disentanglement in VAE latent representations
vae mnist celeba pytorch beta-vae dsprites beta-tcvae factor-vae deep-learning fashion-mnist chairs-dataset disentanglement reproducible-research unsupervised-learning representation-learning variational-autoencoder disentangled-representations
Created 2019-01-30
270 commits to master branch, last one about a year ago
matthewvowels1
Awesome-VAEs matthewvowels1
77
759
unknown
32
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
vae awesome-list deep-learning disentanglement generative-model variational-bayes unsupervised-learning variational-inference representation-learning variational-autoencoder variational-auto-encoder disentangled-representations
Created 2019-08-12
57 commits to master branch, last one 3 years ago
VincentStimper
normalizing-flows VincentStimper
96
622
mit
13
PyTorch implementation of normalizing flow models
glow pytorch real-nvp residual-flow normalizing-flow density-estimation neural-spline-flow variational-inference variational-autoencoder invertible-neural-networks
Created 2020-01-28
755 commits to master branch, last one 3 months ago
EndlessSora
focal-frequency-loss EndlessSora
61
599
mit
38
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
gan loss spade generic pix2pix iccv2021 stylegan2 autoencoder complementary loss-function image-synthesis frequency-domain image-generation generative-models frequency-analysis image-reconstruction variational-autoencoder generative-adversarial-network
Created 2020-12-22
14 commits to master branch, last one about a year ago
timbmg
VAE-CVAE-MNIST timbmg
102
561
unknown
8
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
vae cvae mnist pytorch deep-learning latent-variable-models variational-autoencoder
Created 2018-02-26
30 commits to master branch, last one 6 months ago
EleutherAI
DALLE-mtf EleutherAI
48
435
mit
30
Open-AI's DALL-E for large scale training in mesh-tensorflow.
multimodal transformers text-to-image autoregressive artificial-intelligence variational-autoencoder
Created 2021-01-09
35 commits to main branch, last one 3 years ago
lin-shuyu
VAE-LSTM-for-anomaly-detection lin-shuyu
80
406
unknown
10
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
tensorflow time-series anomaly-detection unsupervised-learning variational-autoencoder
Created 2020-02-13
43 commits to master branch, last one 3 years ago
edgarschnfld
CADA-VAE-PyTorch edgarschnfld
58
281
mit
4
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
vae few-shot-learning zero-shot-learning variational-autoencoder generalized-zero-shot-learning
Created 2019-01-07
41 commits to master branch, last one 3 years ago
Chung-I
Variational-Recurrent-Autoencoder-Tensorflow Chung-I
73
228
unknown
18
A tensorflow implementation of "Generating Sentences from a Continuous Space"
vae tensorflow variational-autoencoder recurrent-neural-networks
Created 2016-11-13
118 commits to master branch, last one 3 years ago
GMvandeVen
brain-inspired-replay GMvandeVen
63
218
mit
7
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
replay split-mnist distillation deep-learning brain-inspired permuted-mnist split-cifar100 internal-replay generative-replay lifelong-learning continual-learning incremental-learning synaptic-intelligence replay-through-feedback variational-autoencoder artificial-neural-networks elastic-weight-consolidation
Created 2020-08-04
10 commits to master branch, last one 2 years ago
hsinyilin19
ResNetVAE hsinyilin19
29
211
unknown
6
Variational AutoEncoder + ResNet Transfer Learning
vae resnet transfer-learning variational-autoencoder
Created 2019-07-28
11 commits to master branch, last one 3 years ago
taldatech
soft-intro-vae-pytorch taldatech
28
190
apache-2.0
9
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
vae pytorch cvpr2021 vae-pytorch soft-introvae soft-intro-vae image-generation density-estimation variational-autoencoder
Created 2020-12-15
20 commits to main branch, last one about a year ago
silviutroscot
CodeSLAM silviutroscot
23
189
unknown
12
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
slam vision pytorch autoencoder deep-learning computer-vision paper-implementations representation-learning variational-autoencoder representations-learning
Created 2019-12-21
35 commits to master branch, last one about a year ago
msmbuilder
vde msmbuilder
44
183
mit
13
Variational Autoencoder for Dimensionality Reduction of Time-Series
python pytorch time-series deep-learning molecular-dynamics computational-biology computational-chemistry variational-autoencoder
Created 2017-11-24
21 commits to master branch, last one 2 years ago
nicola-decao
BNAF nicola-decao
33
173
mit
9
Pytorch implementation of Block Neural Autoregressive Flow
neural-networks normalizing-flows density-estimation variational-autoencoder
Created 2019-04-02
26 commits to master branch, last one 2 years ago
StefanDenn3r
Unsupervised_Anomaly_Detection_Brain_MRI StefanDenn3r
32
171
gpl-3.0
8
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
gan mri autoencoder segmentation deep-learning anomaly-detection unsupervised-learning variational-autoencoder
Created 2020-04-06
11 commits to master branch, last one about a year ago
YatingMusic
MuseMorphose YatingMusic
30
169
mit
5
PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.
pytorch transformer music-generation music-style-transfer variational-autoencoder
Created 2021-07-19
21 commits to main branch, last one about a year ago
sony
sqvae sony
19
166
apache-2.0
7
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
vae vq-vae pytorch bayesian gumbel-softmax generative-model machine-learning vector-quantization deep-generative-model variational-autoencoder
Created 2022-05-26
8 commits to main branch, last one about a year ago
numaproj
numalogic numaproj
27
163
apache-2.0
8
Collection of operational time series ML models and tools
python time-series autoencoders deep-learning hacktoberfest machine-learning outlier-detection unsupervised-learning variational-autoencoder
Created 2022-07-12
173 commits to main branch, last one 17 days ago
LINCellularNeuroscience
VAME LINCellularNeuroscience
58
159
gpl-3.0
13
Variational Animal Motion Embedding - A tool for time series embedding and clustering
vame neuroscience behavior-analysis behavior-quantification variational-autoencoder
Created 2020-04-10
318 commits to master branch, last one 9 months ago
makgyver
rectorch makgyver
19
150
mit
7
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
pypi pytorch autoencoder recommender-system matrix-factorization top-n-recommendations collaborative-filtering variational-autoencoder generative-adversarial-network
Created 2020-02-17
217 commits to master branch, last one 4 years ago