Alternatives and similar repositories for stats271sp2021

Users that are interested in stats271sp2021 are comparing it to the libraries listed below

• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆63Updated last year
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆56Updated 5 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆96Updated 4 years ago
• yuachen / CausalDA
  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
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆24Updated 4 years ago
• probml / JSL
  Jax SSM Library
  ☆48Updated 3 years ago
• canyon289 / ssm_book_club
  ☆18Updated 2 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆66Updated 6 years ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆61Updated last year
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 4 years ago
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated 2 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆47Updated 3 months ago
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆124Updated last month
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆28Updated 4 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆45Updated last week
• HelmholtzAI-Consultants-Munich / PySDDR
  A python package for semi-structured deep distributional regression
  ☆23Updated 3 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 5 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 5 years ago
• slinderman / stats305c
  STATS305C: Applied Statistics III (Spring, 2023)
  ☆29Updated 2 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆38Updated 5 years ago
• samcohen16 / Aligning-Time-Series
  ☆51Updated last year
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆37Updated 3 years ago
• oizumi-lab / GWTune
  ☆22Updated 11 months ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆33Updated 2 years ago