Alternatives and similar repositories for VAE

Users that are interested in VAE are comparing it to the libraries listed below

• uvadlc / uvadlc_practicals_2021
  Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition
  ☆10Updated 2 years ago
• akash-agni / ReadThePaper
  This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.
  ☆11Updated 2 years ago
• Eng-Alaa / AL_SurveyPaper
  This repository has the codes that were used in our published paper "A survey on Active learning: state-of-the-art, practical challenges…
  ☆8Updated 10 months ago
• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆47Updated 4 years ago
• NandaKishoreJoshi / Reinforcement_Lerning
  This repo consists all my RL work and learnings
  ☆12Updated 3 years ago
• reoneo97 / vae-playground
  Implementation of Variational Autoencoders using Pytorch Lightning
  ☆33Updated 2 years ago
• sayakpaul / Barlow-Twins-TF
  TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
  ☆41Updated 4 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 4 years ago
• rasbt / srgan-lightning-blog
  Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App
  ☆16Updated 3 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 4 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• psteinb / sota_on_uncertainties
  trying to obtain uncertainties from training accuracies using timm
  ☆9Updated 3 years ago
• Frightera / Medium_Notebooks_English
  This repo contains the notebooks that is used in Medium posts.
  ☆24Updated 3 years ago
• halixness / understanding-CLIP
  Repo from the "Learning with limited labeled data" seminar @ Uni of Tuebingen. A collection of notes, notebooks and slideshows to underst…
  ☆17Updated 2 years ago
• paperd / tensorflow
  TensorFlow materials
  ☆13Updated 4 years ago
• aws-samples / churn-prediction-with-text-and-interpretability
  Predict customer churn with text and interpretability.
  ☆12Updated 3 years ago
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆11Updated 2 years ago
• trevor-richardson / MCFlow
  Monte Carlo Flow Models for Data Imputation
  ☆18Updated 5 years ago
• sayakpaul / parameter-ensemble-differential-evolution
  Shows how to do parameter ensembling using differential evolution.
  ☆10Updated 3 years ago
• ttchengab / MnistGAN
  ☆17Updated 3 years ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• eugeneyan / text-to-image
  ☆20Updated 2 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated 2 years ago
• mariushobbhahn / LB_for_BNNs_official
  Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…
  ☆12Updated 3 years ago
• AlxndrMlk / PyDataGlobal2021
  ☆12Updated 3 years ago
• ShuaiGuo16 / Gaussian-Process
  Implementing a Gaussian Process regression model from scratch
  ☆23Updated 4 years ago
• Lornatang / GAN-PyTorch
  A complete implementation of the Pytorch neural network framework for GAN
  ☆24Updated 3 years ago
• rupak-roy / VQGAN-CLIP
  ☆10Updated 2 years ago
• napoles-uach / streamlit_apps
  For Streamlit Share proyects
  ☆22Updated 3 years ago