cbg-ethz / bmiLinks
Mutual information estimators and benchmark
☆51Updated 5 months ago
Alternatives and similar repositories for bmi
Users that are interested in bmi are comparing it to the libraries listed below
Sorting:
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last month
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- ☆17Updated 10 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆53Updated last year
- ☆25Updated last year
- Algorithms for computations on random manifolds made easier☆91Updated last year
- Bayesian active learning with EPIG data acquisition☆32Updated 3 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆67Updated 2 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆20Updated last year
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- ☆51Updated 11 months ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 2 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆223Updated last year
- Large-scale uncertainty benchmark in deep learning.☆60Updated 2 months ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆50Updated last year
- IVON optimizer for neural networks based on variational learning.☆68Updated 8 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- ☆152Updated 2 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆221Updated 8 months ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆79Updated last year