bwengals's Stars
exoplanet-dev/celerite2
Fast & scalable Gaussian Processes in one dimension
raphaelvallat/pingouin
Statistical package in Python based on Pandas
mkfreeman/hierarchical-models
A Visual Introduction to Hierarchical Modeling
pyjanitor-devs/pandas_flavor
The easy way to write your own flavor of Pandas
matthewwardrop/formulaic
A high-performance implementation of Wilkinson formulas for Python.
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
aesara-devs/aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
tobgu/pyrsistent
Persistent/Immutable/Functional data structures for Python
GAA-UAM/scikit-fda
Functional Data Analysis Python package
exoplanet-dev/pymc-ext
PyMC Extras extracted from the "exoplanet" library
ejolly/pymer4
All the convenience of lme4 in python
SymJAX/SymJAX
Documentation:
MagicStack/contextvars
PEP 567 Backport
eigenfoo/littlemcmc
A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
rtcovidlive/covid-model
rlouf/mcx
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
bambinos/bambi
BAyesian Model-Building Interface (Bambi) in Python.
ctgk/PRML
PRML algorithms implemented in Python
ydataschool/python-and-bokeh
Seattle 911 Bokeh application
facultyai/dash-bootstrap-components
Bootstrap components for Plotly Dash
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
rmcelreath/statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
juliuskunze/jaxnet
Concise deep learning for JAX
getkeops/keops
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
shap/shap
A game theoretic approach to explain the output of any machine learning model.