slinderman / stats271sp2021Links
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
☆28Updated 4 years ago
Alternatives and similar repositories for stats271sp2021
Users that are interested in stats271sp2021 are comparing it to the libraries listed below
Sorting:
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆56Updated 5 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 4 years ago
- STATS305C: Applied Statistics III (Spring, 2023)☆29Updated 2 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Bayesian Bandits☆68Updated 2 years ago
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 4 years ago
- ☆18Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- ☆11Updated 7 years ago
- Jupyter notebooks from our weekly (or so) hackathons☆11Updated last year
- ☆24Updated 2 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 5 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated 2 weeks ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆96Updated 4 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆53Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Jax SSM Library☆48Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- Multi-task regression in Python☆25Updated 4 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 3 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 4 years ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Active inference implementation of dynamic multi-armed bandits☆20Updated 7 months ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago