vsimkus / pmr2024-hmmLinks
An official repository for tutorials of Probabilistic Modelling and Reasoning - a University of Edinburgh master's course.
☆27Updated 2 years ago
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 2 years ago
- Mutual information estimators and benchmark☆55Updated 3 months ago
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated last year
- Code for verifying deep neural feature ansatz☆21Updated 2 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆28Updated 2 years ago
- About A collection of AWESOME things about information geometry Topics☆175Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆94Updated 3 years ago
- Hierarchical Associative Memory User Experience☆105Updated last month
- Interactive textbook on state-space models☆200Updated last year
- Scalable Convex Neural Networks☆25Updated 8 months ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆61Updated 4 months ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆165Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- Predictive Coding JAX-based library☆86Updated 8 months ago
- LaTeX style file for the Journal of Machine Learning Research☆158Updated last year
- Flexible Inference for Predictive Coding Networks in JAX.☆64Updated this week
- diffusionjax is a simple and accessible diffusion models package in JAX☆48Updated 11 months ago
- Bayesian inference with Python and Jax.☆34Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆70Updated 8 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 7 months ago
- ☆19Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆250Updated 3 months ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆134Updated last year
- A projection-based framework for gradient-free and parallel learning☆109Updated 6 months ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆198Updated 2 years ago