bertdv / BMLIPLinks
Course 5SSD0 - Bayesian Machine Learning and Information Processing
☆50Updated 2 months ago
Alternatives and similar repositories for BMLIP
Users that are interested in BMLIP are comparing it to the libraries listed below
Sorting:
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated 2 weeks ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- A Julia Package for Active Inference☆36Updated this week
- ☆18Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆222Updated last year
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Structural Time Series in JAX☆200Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆240Updated last year
- Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.☆151Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆78Updated this week
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆65Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Reservoir computing utilities for scientific machine learning (SciML)☆218Updated this week
- Support material for MAT6115, Université de Montréal, Fall 2018☆27Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- ☆11Updated 3 years ago
- Data Science for Dynamical System Course☆132Updated 2 weeks ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 8 months ago
- Gaussian process modelling in Python☆225Updated 11 months ago
- Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.☆145Updated 3 months ago
- Code for simulating collective motion from groups of continuous-time and -space active inference agents.☆51Updated last year
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 11 months ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆79Updated last year
- Automated Bayesian model discovery for time series data☆83Updated 3 weeks ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆28Updated last year
- Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi Univers…☆26Updated 5 months ago
- High-performance reactive message-passing based Bayesian inference engine☆116Updated this week
- Julia package for automated Bayesian inference on a factor graph with reactive message passing☆376Updated this week