PGM-Lab / 2023-ProbAILinks
Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
☆17Updated 2 years ago
Alternatives and similar repositories for 2023-ProbAI
Users that are interested in 2023-ProbAI are comparing it to the libraries listed below
Sorting:
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated 2 years ago
- ☆155Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 6 months ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- IVON optimizer for neural networks based on variational learning.☆78Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆78Updated 2 months ago
- Kernel Identification Through Transformers☆14Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆51Updated 4 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆65Updated last year
- Bayesian active learning with EPIG data acquisition☆35Updated 3 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Mutual information estimators and benchmark☆55Updated 3 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆69Updated 10 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆92Updated 10 months ago
- ☆52Updated last year
- Regression datasets from the UCI repository with standardized test-train splits.☆52Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆244Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆61Updated last month
- Public dataset repository for the Causal Chamber Project☆54Updated last month
- Agustinus' very opiniated publication-ready plotting library☆70Updated 7 months ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated last month