PGM-Lab / 2023-ProbAI
Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
☆17Updated last year
Alternatives and similar repositories for 2023-ProbAI:
Users that are interested in 2023-ProbAI are comparing it to the libraries listed below
- Materials of the Nordic Probabilistic AI School 2023.☆85Updated last year
- Code for the causal benchmark library☆11Updated 3 months ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆47Updated 10 months ago
- ☆51Updated 5 months ago
- ☆147Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆26Updated 2 weeks ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆59Updated this week
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆81Updated 9 months ago
- ☆9Updated last year
- 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…☆51Updated last year
- ☆46Updated this week
- Agustinus' very opiniated publication-ready plotting library☆61Updated 4 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 8 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆82Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆61Updated 2 weeks ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆32Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆172Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆88Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆40Updated 5 months ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆93Updated 8 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆79Updated this week
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆23Updated this week
- Repository for "Differentiable Causal Discovery from Interventional Data"☆72Updated 2 years ago