FrederikWarburg / LaplaceAELinks
☆32Updated 3 years ago
Alternatives and similar repositories for LaplaceAE
Users that are interested in LaplaceAE are comparing it to the libraries listed below
Sorting:
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- ☆28Updated 3 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆101Updated this week
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated 2 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Updated 4 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆57Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago
- ☆17Updated 3 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆77Updated 4 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Updated 4 years ago
- ☆52Updated 4 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆73Updated last year
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆38Updated 11 months ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 2 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆105Updated 5 years ago
- ☆63Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago