ciguaran's Stars
spinkney/helpful_stan_functions
chi-feng/mcmc-demo
Interactive Markov-chain Monte Carlo Javascript demos
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
stan-dev/posteriordb
Database with posteriors of interest for Bayesian inference
stan-dev/posteriordb-python
MaggieLieu/STAN_tutorials
UoL-SignalProcessingGroup/SMC-NUTS
A python implementation of NUTS working in an SMC sampler using bridge-Stan to define and execute models
WardBrian/bridgestan
roualdes/bridgestan
BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
ebenmichael/augsynth
Augmented Synthetic Control Method
cvxgrp/cvxpylayers
Differentiable convex optimization layers
Pyomo/pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
Pyomo/mpi-sppy
MPI-based Stochastic Programming in PYthon
charlax/professional-programming
A collection of learning resources for curious software engineers
alexanderbuchholz/hsmc
hsmc
Octoframes/jupyter_capture_output
A cellmagic that captures celloutput such as text, image or video to files.
nicolaipalm/oed
Minimal effort to get maximal information from your experiments
patrick-kidger/jaxtyping
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
agronholm/typeguard
Run-time type checker for Python
google-deepmind/chex
SamDuffield/mocat
All things Monte Carlo, written in JAX.
jeremiecoullon/jax_MCMC_blog_post
Code to reproduce Jax samplers from blog post
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.