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Collection of generative models in Tensorflow
Created
2017-08-24
76 commits to master branch, last one 6 years ago
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Created
2021-10-02
373 commits to main branch, last one 4 months ago
Notebooks about Bayesian methods for machine learning
Created
2018-03-19
136 commits to dev branch, last one 8 months ago
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 8 months ago
Deep probabilistic analysis of single-cell and spatial omics data
Created
2017-09-06
4,100 commits to main branch, last one 2 days ago
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Created
2016-12-17
320 commits to master branch, last one 2 years ago
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Created
2016-08-15
59 commits to master branch, last one 7 months ago
"Deep Generative Modeling": Introductory Examples
Created
2021-01-23
67 commits to main branch, last one 2 months ago
Next RecSys Library
Created
2019-02-25
217 commits to master branch, last one 2 years ago
Experiments for understanding disentanglement in VAE latent representations
Created
2019-01-30
270 commits to master branch, last one about a year ago
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Created
2019-08-12
57 commits to master branch, last one 3 years ago
PyTorch implementation of normalizing flow models
Created
2020-01-28
757 commits to master branch, last one 2 months ago
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Created
2020-12-22
15 commits to master branch, last one 3 months ago
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Created
2018-02-26
30 commits to master branch, last one about a year ago
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Created
2020-02-13
43 commits to master branch, last one 4 years ago
Open-AI's DALL-E for large scale training in mesh-tensorflow.
Created
2021-01-09
35 commits to main branch, last one 3 years ago
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Created
2019-01-07
41 commits to master branch, last one 4 years ago
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Created
2016-11-13
118 commits to master branch, last one 4 years ago
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 3 years ago
Variational AutoEncoder + ResNet Transfer Learning
Created
2019-07-28
11 commits to master branch, last one 3 years ago
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
Created
2023-03-12
42 commits to main branch, last one 7 months ago
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Created
2019-12-21
35 commits to master branch, last one 2 years ago
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Created
2020-12-15
20 commits to main branch, last one 2 years ago
Variational Autoencoder for Dimensionality Reduction of Time-Series
Created
2017-11-24
21 commits to master branch, last one 2 years ago
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Created
2022-05-26
8 commits to main branch, last one 2 years ago
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Created
2020-04-06
11 commits to master branch, last one 2 years ago
Variational Animal Motion Embedding - A tool for time series embedding and clustering
Created
2020-04-10
319 commits to master branch, last one about a month ago
Pytorch implementation of Block Neural Autoregressive Flow
Created
2019-04-02
26 commits to master branch, last one 3 years ago
PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.
Created
2021-07-19
21 commits to main branch, last one about a year ago
Collection of operational time series ML models and tools
Created
2022-07-12
196 commits to main branch, last one about a month ago