Alternatives and similar repositories for stats-ds-book:

Users that are interested in stats-ds-book are comparing it to the libraries listed below

• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆32Updated 2 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 2 years ago
• gradhep / neos
  Upstream optimisation for downstream inference
  ☆69Updated 2 weeks ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆53Updated 7 months ago
• smsharma / hierarchical-inference
  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
  ☆13Updated last year
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆91Updated 3 years ago
• lukasheinrich / MLHEP-pyprob
  Tutorial Code for MLHEP pyprob
  ☆18Updated last year
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆20Updated last week
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆55Updated last month
• dfm / jpu
  JAX + Units
  ☆47Updated last month
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆49Updated this week
• dfm / cv
  My CV
  ☆37Updated this week
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• gradhep / relaxed
  Provides differentiable versions of common HEP operations and objectives.
  ☆24Updated last year
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 3 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• smsharma / sbi-lecture-mit
  Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
  ☆52Updated last year
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆108Updated last year
• probml / bandits
  Bayesian Bandits
  ☆67Updated last year
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆22Updated last year
• johannbrehmer / pointers
  Things that make me feel productive
  ☆14Updated 2 years ago
• GilesStrong / lumin
  LUMIN - a deep learning and data science ecosystem for high-energy physics.
  ☆46Updated 4 months ago
• HDembinski / numba-stats
  Numba-accelerated statistical distributions
  ☆55Updated last week
• adrn / makecite
  Generate latex + bibtex citation commands by looking at what packages are imported
  ☆49Updated 4 years ago
• simulation-based-inference / simulation-based-inference.github.io
  Website
  ☆11Updated this week
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 5 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆30Updated 2 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆30Updated 2 months ago