☆28Jan 31, 2022Updated 4 years ago
Alternatives and similar repositories for convolution_exponential_and_sylvester
Users that are interested in convolution_exponential_and_sylvester are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆41May 31, 2019Updated 7 years ago
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- General Invertible Transformations for Flow-based Generative Models☆16Nov 27, 2020Updated 5 years ago
- VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.☆77Sep 1, 2020Updated 5 years ago
- Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression…☆100Nov 29, 2019Updated 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.
- ☆12Dec 8, 2022Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆292Feb 1, 2021Updated 5 years ago
- Very simple and short implementation of gradient boosting in 18 lines of code☆10Sep 17, 2020Updated 5 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Feb 15, 2022Updated 4 years ago
- ☆23May 6, 2020Updated 6 years ago
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Nov 21, 2022Updated 3 years ago
- ☆67Oct 13, 2022Updated 3 years ago
- ☆87Nov 2, 2021Updated 4 years ago
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Mar 25, 2020Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆22Jun 30, 2020Updated 6 years ago
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆40Apr 25, 2023Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Oct 19, 2022Updated 3 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- Code for "DISCO: accurate Discrete Scale Convolutions"☆19Jul 22, 2022Updated 4 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆34Oct 6, 2018Updated 7 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆43Oct 26, 2020Updated 5 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆152Nov 19, 2023Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Oct 5, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for reproducing Flow ++ experiments☆193Apr 27, 2019Updated 7 years ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Dec 14, 2022Updated 3 years ago
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Oct 25, 2021Updated 4 years ago
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆38Mar 15, 2021Updated 5 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Oct 23, 2022Updated 3 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆44May 10, 2024Updated 2 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Mar 4, 2022Updated 4 years ago
- Perceptual quality metrics for TensorFlow☆43Oct 7, 2022Updated 3 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.
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Apr 9, 2021Updated 5 years ago
- Supporting code for Deep Scale Spaces: Equivariance Over Scale☆23Oct 27, 2019Updated 6 years ago
- Software tool for metabolic modelling in Systems Biology☆10Jul 24, 2026Updated 3 weeks ago
- VAEs with Lie Group latent space☆98Jan 20, 2022Updated 4 years ago
- Masked Convolutional Flow☆59Apr 9, 2020Updated 6 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆133Oct 3, 2023Updated 2 years ago
- ☆17Jun 23, 2023Updated 3 years ago