Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
☆106Jan 24, 2019Updated 7 years ago
Alternatives and similar repositories for Disentangled-Sequential-Autoencoder
Users that are interested in Disentangled-Sequential-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:
- This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…☆155Jan 30, 2018Updated 8 years ago
- ☆12Mar 23, 2021Updated 5 years ago
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆22Aug 22, 2019Updated 7 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Jul 26, 2018Updated 8 years ago
- PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video☆46Apr 17, 2020Updated 6 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.
- Kalman Variational Auto-Encoder☆143Feb 12, 2019Updated 7 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆167Feb 20, 2023Updated 3 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆291Dec 13, 2021Updated 4 years ago
- This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders…☆53Apr 11, 2018Updated 8 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆90Jul 24, 2020Updated 6 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- ☆35Jan 26, 2024Updated 2 years ago
- A variational recurrent neural network implementation in tensorflow☆104Dec 21, 2017Updated 8 years ago
- BAD-VAE: A VAE framework for unsupervised disentanglement of sequential data☆12May 25, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆14Oct 29, 2018Updated 8 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Dec 8, 2022Updated 3 years ago
- ☆47Jan 11, 2021Updated 5 years ago
- A curated list of research papers related to learning disentangled representations☆468Jun 6, 2019Updated 7 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆12May 22, 2020Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆47Mar 27, 2018Updated 8 years ago
- PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]☆13Jul 14, 2019Updated 7 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Jun 2, 2018Updated 8 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆44May 18, 2017Updated 9 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code for 'On Contrastive Representations of Stochastic Processes' https://arxiv.org/abs/2106.10052☆11Oct 28, 2021Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆354Aug 31, 2022Updated 4 years ago
- ☆14Jul 15, 2022Updated 4 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,425May 16, 2021Updated 5 years ago
- Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020☆11May 13, 2020Updated 6 years ago
- Experiments for understanding disentanglement in VAE latent representations☆843Feb 2, 2023Updated 3 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 7 years ago
- Pytorch implementation of β-VAE☆573Dec 29, 2020Updated 5 years ago
- Belief matching framework official implementation☆41Mar 24, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Apr 30, 2020Updated 6 years ago
- Deep Learning For Ultrasound Tongue Imaging☆13Dec 17, 2024Updated last year
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Pytorch implementation of Neural Processes for functions and images☆240Feb 8, 2022Updated 4 years ago
- A PyTorch implementation of Generative Flows with Matrix Exponential.☆12Sep 22, 2024Updated 2 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆57Jun 21, 2021Updated 5 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆299Aug 7, 2020Updated 6 years ago