Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
☆470Apr 2, 2019Updated 7 years ago
Alternatives and similar repositories for joint-vae
Users that are interested in joint-vae are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆354Aug 31, 2022Updated 3 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,427May 16, 2021Updated 4 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆284Jun 28, 2018Updated 7 years ago
- A curated list of research papers related to learning disentangled representations☆463Jun 6, 2019Updated 6 years ago
- Pytorch implementation of β-VAE☆572Dec 29, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Experiments for understanding disentanglement in VAE latent representations☆841Feb 2, 2023Updated 3 years ago
- PyTorch implementations of algorithms for density estimation☆586May 13, 2021Updated 4 years ago
- Experiments with differentiable stacks and queues in PyTorch☆145Oct 7, 2019Updated 6 years ago
- Disentanglement library for PyTorch☆282May 8, 2022Updated 3 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 7 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆709Mar 2, 2020Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 4 years ago
- Replicating "Understanding disentangling in β-VAE"☆199Jun 2, 2018Updated 7 years ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆485Feb 12, 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.
- Probabilistic Torch is library for deep generative models that extends PyTorch☆895May 12, 2024Updated last year
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Jul 26, 2018Updated 7 years ago
- ☆90Jun 24, 2019Updated 6 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆534Jan 3, 2021Updated 5 years ago
- ☆181Jul 5, 2019Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- Code for the Eager Translation Model from the paper You May Not Need Attention☆294Dec 17, 2018Updated 7 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆388Mar 21, 2020Updated 6 years ago
- Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"☆3,183Jul 23, 2024Updated last year
- 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.
- PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"☆114Dec 3, 2019Updated 6 years ago
- Wasserstein Auto-Encoders☆509Jun 28, 2018Updated 7 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆593Dec 8, 2018Updated 7 years ago
- ☆239May 15, 2019Updated 6 years ago
- PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot☆322Nov 4, 2017Updated 8 years ago
- Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"☆321Jun 24, 2019Updated 6 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Jul 18, 2020Updated 5 years ago
- PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)☆318Feb 3, 2022Updated 4 years ago
- Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"☆920Aug 27, 2019Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231May 6, 2018Updated 7 years ago
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,497Mar 24, 2024Updated 2 years ago
- A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )☆16Apr 24, 2018Updated 8 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆513Apr 25, 2019Updated 7 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆298Aug 7, 2020Updated 5 years ago
- A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation☆141Feb 7, 2019Updated 7 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆433May 10, 2017Updated 8 years ago