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☆61Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- ☆28Updated 3 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- ☆17Updated 3 years ago
- ☆63Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆75Updated 4 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆100Updated last week
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- ☆20Updated 3 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year
- Package for working with hypernetworks in PyTorch.☆129Updated last year
- ☆32Updated 5 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆37Updated 10 months 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
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆56Updated 2 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- ☆62Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Updated 4 years ago