bertdv / BMLIP
Course 5SSD0 - Bayesian Machine Learning and Information Processing
☆41Updated 2 weeks ago
Alternatives and similar repositories for BMLIP:
Users that are interested in BMLIP are comparing it to the libraries listed below
- ☆18Updated last year
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 10 months ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆117Updated 2 weeks ago
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆58Updated 5 months ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆68Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- A framework for composing Neural Processes in Julia☆76Updated 3 years ago
- Jax SSM Library☆49Updated 2 years ago
- ☆13Updated last year
- Introduction to Gaussian Processes☆27Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆62Updated last month
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆29Updated 7 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆11Updated 3 months ago
- Lectures on Quantitative Economics Using JAX☆32Updated this week
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 3 years ago
- ☆23Updated 4 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 8 months ago
- A Julia Package for Active Inference☆21Updated last month
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆45Updated 3 years ago
- Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.☆149Updated last year
- ☆36Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 6 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- AA120Q Course Materials☆28Updated 3 weeks ago
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆28Updated 3 weeks ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆29Updated 7 months ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆26Updated last year