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Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20220709021554/https://github.com/topics/variational-autoencoder

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variational-autoencoder

Here are 574 public repositories matching this topic...

hwalsuklee / tensorflow-generative-model-collections

Collection of generative models in Tensorflow

Updated Jul 21, 2018
Python

krasserm / bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

machine-learning bayesian-methods gaussian-processes bayesian-optimization bayesian-machine-learning variational-autoencoder

Updated Jan 19, 2021
Jupyter Notebook

RubensZimbres / Repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

nlp opencv natural-language-processing deep-learning sentiment-analysis word2vec keras generative-adversarial-network autoencoder glove t-sne segnet keras-models keras-layer latent-dirichlet-allocation denoising-autoencoders svm-classifier resnet-50 anomaly-detection variational-autoencoder

Updated Dec 6, 2021
Python

altosaar / variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks

Updated Nov 11, 2021
Python

wubinzzu / NeuRec

Next RecSys Library

deep-learning social-network tensorflow collaborative-filtering neural-networks autoencoder convolutional-neural-networks sequential recommender-systems gcn adversarial-learning variational-autoencoder

Updated Jun 21, 2022
Python

GMvandeVen / continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

deep-learning artificial-neural-networks replay incremental-learning variational-autoencoder generative-models lifelong-learning distillation continual-learning elastic-weight-consolidation replay-through-feedback icarl gradient-episodic-memory

Updated Jul 15, 2021
Python

scverse / scvi-tools

Deep probabilistic analysis of single-cell omics data

deep-learning scrna-seq variational-autoencoder variational-bayes single-cell-genomics single-cell-rna-seq deep-generative-model cite-seq human-cell-atlas scverse

Updated Jul 5, 2022
Python

clementchadebec / benchmark_VAE

Unifying Generative Autoencoder implementations in Python

python benchmarking machine-learning research deep-learning reproducible-research pytorch comparison generative-model autoencoder vae reproducibility variational-autoencoder

Updated Jul 7, 2022
Python

matthewvowels1 / Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

deep-learning generative-model vae awesome-list representation-learning unsupervised-learning variational-inference variational-autoencoder variational-bayes disentanglement variational-auto-encoder disentangled-representations

Updated Jul 11, 2021

YannDubs / disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

deep-learning reproducible-research pytorch mnist chairs-dataset vae representation-learning unsupervised-learning beta-vae celeba variational-autoencoder disentanglement dsprites fashion-mnist disentangled-representations factor-vae beta-tcvae

Updated Apr 4, 2021
Python

hwalsuklee / tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

tensorflow mnist autoencoder vae dae denoising-autoencoders variational-autoencoder

Updated Apr 11, 2017
Python

dawenl / vae_cf

Variational autoencoders for collaborative filtering

collaborative-filtering bayesian-inference recommender-systems variational-autoencoder

Updated Feb 19, 2018
Jupyter Notebook

navneet-nmk / pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Updated Jul 14, 2019
Python

EleutherAI / DALLE-mtf

Open-AI's DALL-E for large scale training in mesh-tensorflow.

transformers artificial-intelligence autoregressive text-to-image variational-autoencoder multimodal

Updated Feb 12, 2022
Python

jmtomczak / intro_dgm

An Introduction to Deep Generative Modeling: Examples

deep-learning pytorch generative-adversarial-network variational-autoencoder energy-based-model flow-based-modeling deep-generative-modelling autoregressive-modeling neural-compression

Updated Feb 21, 2022
Jupyter Notebook

EndlessSora / focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

image-reconstruction generic generative-adversarial-network gan autoencoder image-generation spade pix2pix frequency-domain frequency-analysis loss variational-autoencoder generative-models image-synthesis complementary loss-function stylegan2 iccv2021

Updated Jun 4, 2022
Python

RUCAIBox / TextBox

TextBox is an open-source library for building text generation system.

text-generation pytorch generative-adversarial-network bart sequence-to-sequence encoder-decoder variational-autoencoder gpt-2 xlnet pretrained-language-model

Updated Jul 8, 2022
Python

timbmg / VAE-CVAE-MNIST

Sponsor

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

deep-learning pytorch mnist vae latent-variable-models cvae variational-autoencoder

Updated Jun 22, 2022
Python

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

deep-learning end-to-end chatbot generative-model dialogue-systems cvae variational-autoencoder variational-bayes

Updated Nov 26, 2018
OpenEdge ABL

nicola-decao / s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

machine-learning deep-learning pytorch vae manifold-learning variational-autoencoder von-mises-fisher hyperspherical-vae

Updated Mar 21, 2020
Python

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..

tutorial generative-adversarial-network dcgan generative-model gaussian-mixture-models auto-regressive-model gans bayesian-classifiers variational-inference tutorial-code variational-autoencoder cyclegan

Updated Jan 21, 2019
Jupyter Notebook

alexlee-gk / video_prediction

Stochastic Adversarial Video Prediction

generative-adversarial-network gan stochastic vae adversarial vae-gan variational-autoencoder video-generation video-prediction

Updated Oct 8, 2019
Python

edgarschnfld / CADA-VAE-PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

vae zero-shot-learning variational-autoencoder few-shot-learning generalized-zero-shot-learning

Updated Jun 21, 2022
Python

Chung-I / Variational-Recurrent-Autoencoder-Tensorflow

A tensorflow implementation of "Generating Sentences from a Continuous Space"

tensorflow recurrent-neural-networks vae variational-autoencoder

Updated May 26, 2022
Python

sksq96 / pytorch-vae

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

vae convolutional-neural-networks variational-autoencoder

Updated May 31, 2020
Jupyter Notebook

nicola-decao / s-vae-tf

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

machine-learning deep-learning tensorflow citation vae manifold-learning variational-autoencoder von-mises-fisher nicolas hyperspherical-vae

Updated Dec 1, 2018
Python

TimyadNyda / Variational-Lstm-Autoencoder

Lstm variational auto-encoder for time series anomaly detection and features extraction

deep-learning time-series tensorflow vae anomaly-detection variational-autoencoder

Updated Jun 24, 2020
Python

lin-shuyu / VAE-LSTM-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

time-series tensorflow unsupervised-learning anomaly-detection variational-autoencoder

Updated Jun 22, 2022
Jupyter Notebook

yzwxx / vae-celebA

Variational auto-encoder trained on celebA . All rights reserved.

tensorflow tensorlayer variational-autoencoder celeba-dataset vggl16

Updated Dec 14, 2017
Python

msmbuilder / vde

Variational Autoencoder for Dimensionality Reduction of Time-Series

python deep-learning time-series molecular-dynamics computational-biology pytorch computational-chemistry variational-autoencoder

Updated May 1, 2022
Jupyter Notebook

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