Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
☆1,183Apr 24, 2024Updated last year
Alternatives and similar repositories for variational-autoencoder
Users that are interested in variational-autoencoder are comparing it to the libraries listed below
Sorting:
- generate MNIST using a Variational Autoencoder☆714Nov 30, 2018Updated 7 years ago
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,497Mar 24, 2024Updated last year
- A Collection of Variational Autoencoders (VAE) in PyTorch.☆7,592Mar 21, 2025Updated 11 months ago
- Caffe code to accompany my Tutorial on Variational Autoencoders☆521Dec 22, 2016Updated 9 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆529Nov 22, 2018Updated 7 years ago
- Implementation of a Variational Auto-Encoder in Theano☆381Jul 9, 2017Updated 8 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆432Jun 4, 2022Updated 3 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,845Mar 18, 2024Updated last year
- A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational A…☆597Apr 18, 2017Updated 8 years ago
- Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch☆657May 30, 2025Updated 9 months ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆208Mar 20, 2017Updated 8 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Apr 4, 2017Updated 8 years ago
- Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolutio…☆347Apr 8, 2021Updated 4 years ago
- Pytorch implementation of β-VAE☆568Dec 29, 2020Updated 5 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆516Jan 25, 2015Updated 11 years ago
- Code for the paper "Improved Techniques for Training GANs"☆2,334Nov 21, 2018Updated 7 years ago
- starter from "How to Train a GAN?" at NIPS2016☆11,644Jan 9, 2022Updated 4 years ago
- Gaussian processes in TensorFlow☆1,901May 29, 2025Updated 9 months ago
- Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"☆1,962Feb 3, 2020Updated 6 years ago
- Tensorflow implementation of variational auto-encoder for MNIST☆500Apr 11, 2017Updated 8 years ago
- Generative image model with learned similarity measures☆444Feb 21, 2017Updated 9 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,765Sep 1, 2025Updated 6 months ago
- Deep universal probabilistic programming with Python and PyTorch☆8,983Jul 9, 2025Updated 7 months ago
- Experiments for understanding disentanglement in VAE latent representations☆841Feb 2, 2023Updated 3 years ago
- Efficiently computes derivatives of NumPy code.☆7,460Feb 23, 2026Updated last week
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,420May 16, 2021Updated 4 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆839Jul 11, 2021Updated 4 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Mar 28, 2016Updated 9 years ago
- ☆3,245Dec 26, 2018Updated 7 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆215Mar 4, 2020Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆352Aug 31, 2022Updated 3 years ago
- code for Structured Variational Autoencoders☆351Aug 22, 2018Updated 7 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,835Updated this week
- Course notes for CS228: Probabilistic Graphical Models.☆1,994Jun 24, 2025Updated 8 months ago
- A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"☆7,205Jan 6, 2021Updated 5 years ago
- Collection of generative models in Tensorflow☆3,923Aug 8, 2022Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,350Apr 4, 2025Updated 10 months ago
- Generative Models with TensorFlow☆30Dec 28, 2015Updated 10 years ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,415Updated this week