Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
☆84Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for biva-pytorch
Users that are interested in biva-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆32Jan 18, 2022Updated 4 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"☆25Apr 8, 2021Updated 5 years ago
- A σ-VAE implementation in PyTorch☆106May 9, 2026Updated 3 months ago
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆454Apr 28, 2023Updated 3 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.
- ☆182Jul 5, 2019Updated 7 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,092Dec 6, 2022Updated 3 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231May 6, 2018Updated 8 years ago
- Implementation of VLAE☆212Dec 21, 2017Updated 8 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Mar 17, 2021Updated 5 years ago
- ☆27May 3, 2020Updated 6 years ago
- Synthetic galaxy cluster images and catalogs for optical sky surveys☆15Sep 28, 2023Updated 2 years ago
- Reweighted Expectation Maximization☆29Jun 14, 2019Updated 7 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆22Apr 22, 2024Updated 2 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.
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Mar 28, 2016Updated 10 years ago
- Code for "MIM: Mutual Information Machine" paper.☆15Nov 22, 2022Updated 3 years ago
- Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch☆41Oct 30, 2022Updated 3 years ago
- ☆37Jul 1, 2020Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- [AAAI 2021 Workshop] The official repository for the LST-MAP model for few-shot image classification.☆13Feb 12, 2021Updated 5 years ago
- ☆19Feb 11, 2022Updated 4 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Jun 14, 2017Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code to accompany the paper "Hierarchical Quantized Autoencoders"☆37Oct 3, 2023Updated 2 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- ☆28Jan 28, 2019Updated 7 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Jul 7, 2020Updated 6 years ago
- ☆239May 15, 2019Updated 7 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- ☆47Jan 11, 2021Updated 5 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆275Sep 19, 2023Updated 2 years ago
- ☆34May 1, 2025Updated last year
- 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.
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension☆20Feb 21, 2025Updated last year
- EfficientMORL (ICML'21)☆22Nov 3, 2021Updated 4 years ago
- Code for Improved Condtional VRNNs for Video Prediction☆39Aug 12, 2021Updated 5 years ago
- General Invertible Transformations for Flow-based Generative Models☆16Nov 27, 2020Updated 5 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆15Mar 24, 2023Updated 3 years ago
- lanmt ebm☆12Jun 19, 2020Updated 6 years ago