vsimkus / pmr2024-hmmLinks
An official repository for tutorials of Probabilistic Modelling and Reasoning - a University of Edinburgh master's course.
☆27Updated last year
Alternatives and similar repositories for pmr2024-hmm
Users that are interested in pmr2024-hmm are comparing it to the libraries listed below
Sorting:
- An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning - a University of Edinburgh master's course.☆10Updated last year
- LaTeX style file for the Journal of Machine Learning Research☆159Updated last year
- Scalable Convex Neural Networks☆24Updated 7 months ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆61Updated 3 months ago
- Hierarchical Associative Memory User Experience☆105Updated last month
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆94Updated 3 years ago
- About A collection of AWESOME things about information geometry Topics☆172Updated last year
- Code for verifying deep neural feature ansatz☆21Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 6 months ago
- Predictive Coding JAX-based library☆85Updated 7 months ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆51Updated last year
- Interactive textbook on state-space models☆198Updated last year
- Loopy belief propagation for factor graphs on discrete variables in JAX☆161Updated last year
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Mutual information estimators and benchmark☆55Updated 2 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, publi…☆13Updated 2 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆249Updated 2 months ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Updated 5 months ago
- Flexible Inference for Predictive Coding Networks in JAX.☆61Updated this week
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆195Updated 2 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆28Updated last year
- Bayesian inference with Python and Jax.☆34Updated 3 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆97Updated 7 months ago
- ☆155Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 7 months ago
- Bayesian active learning with EPIG data acquisition☆35Updated 3 months ago