slinderman / stats305cLinks
STATS305C: Applied Statistics III (Spring, 2023)
☆28Updated 2 years ago
Alternatives and similar repositories for stats305c
Users that are interested in stats305c are comparing it to the libraries listed below
Sorting:
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆60Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆221Updated last year
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆28Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆55Updated 4 years ago
- Structural Time Series in JAX☆200Updated last year
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆122Updated last month
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- ☆154Updated 3 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆91Updated 8 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- 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
- A Python package for probabilistic state space modeling with JAX☆876Updated 3 months ago
- Tutorials and sampling algorithm comparisons☆77Updated last week
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆187Updated 2 years ago
- Bayesian Bandits☆68Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Jax SSM Library☆48Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- A Python package for intrinsic dimension estimation☆93Updated last month
- Sequential Neural Likelihood☆42Updated 6 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 5 years ago
- Example codes for the book Applied Stochastic Differential Equations☆198Updated this week
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆67Updated 5 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago