Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
☆1,194Apr 24, 2024Updated 2 years ago
Alternatives and similar repositories for variational-autoencoder
Users that are interested in variational-autoencoder are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- generate MNIST using a Variational Autoencoder☆712Nov 30, 2018Updated 7 years ago
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,493Mar 24, 2024Updated 2 years ago
- A Collection of Variational Autoencoders (VAE) in PyTorch.☆7,682Mar 21, 2025Updated last year
- Caffe code to accompany my Tutorial on Variational Autoencoders☆523Dec 22, 2016Updated 9 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆431Jun 4, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of a Variational Auto-Encoder in Theano☆384Jul 9, 2017Updated 9 years ago
- Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch☆664Jul 17, 2026Updated 3 months ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆528Nov 22, 2018Updated 7 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,847Mar 18, 2024Updated 2 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆521Jan 25, 2015Updated 11 years ago
- A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational A…☆592Apr 18, 2017Updated 9 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆207Mar 20, 2017Updated 9 years ago
- Pytorch implementation of β-VAE☆573Dec 29, 2020Updated 5 years ago
- Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolutio…☆347Apr 8, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Generative image model with learned similarity measures☆447Feb 21, 2017Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Mar 28, 2016Updated 10 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆216Mar 4, 2020Updated 6 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆104Apr 4, 2017Updated 9 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆354Aug 31, 2022Updated 4 years ago
- Tensorflow implementation of variational auto-encoder for MNIST☆498Apr 11, 2017Updated 9 years ago
- starter from "How to Train a GAN?" at NIPS2016☆11,613Jan 9, 2022Updated 4 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆24,083Sep 1, 2025Updated last year
- Code for the paper "Improved Techniques for Training GANs"☆2,335Nov 21, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Variational autoencoder in Tensorflow☆63May 11, 2022Updated 4 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,071Oct 5, 2026Updated 3 weeks ago
- ☆291Mar 13, 2018Updated 8 years ago
- Denoising Variational Autoencoder☆34Feb 11, 2017Updated 9 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆846Jul 11, 2021Updated 5 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,425May 16, 2021Updated 5 years ago
- Efficiently computes derivatives of NumPy code.☆7,549Oct 26, 2026Updated last week
- Play time!☆200Sep 13, 2024Updated 2 years ago
- Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"☆1,956Feb 3, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Experiments for understanding disentanglement in VAE latent representations☆843Feb 2, 2023Updated 3 years ago
- 个人练习，自编码器及其变形（理论+实践）☆345May 18, 2019Updated 7 years ago
- PyTorch implementations of algorithms for density estimation☆589May 13, 2021Updated 5 years ago
- code for Structured Variational Autoencoders☆353Aug 22, 2018Updated 8 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆2,015Jun 24, 2025Updated last year
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,446Oct 27, 2026Updated last week
- Collection of generative models in Tensorflow☆3,921Aug 8, 2022Updated 4 years ago