Gattocrucco

Gattocrucco's Stars

• bashtage/linearmodels

  Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

  Language:Python957184

• pyro-ppl/numpyro

  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

  Language:Python2.4k246

• py-why/causal-learn

  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

  Language:Python1.2k200

• lrberge/fixest

  Fixed-effects estimations

  Language:R38361

• glmmTMB/glmmTMB

  glmmTMB

  Language:HTML30463

• JakeColtman/bartpy

  Bayesian Additive Regression Trees For Python

  Language:Python21844

• nchenderson/GPBART

  Language:R1

• JingyuHe/XBART

  Language:C++8925

• jmschrei/pomegranate

  Fast, flexible and easy to use probabilistic modelling in Python.

  Language:Python3.4k590

• hmmlearn/hmmlearn

  Hidden Markov Models in Python, with scikit-learn like API

  Language:Python3.1k739

• IPL-UV/jaxkern

  A lightweight didactic library of kernel methods using the back-end JAX.

  Language:Jupyter Notebook123

• JaxGaussianProcesses/GPJax

  Gaussian processes in JAX.

  Language:Python47054

• qqilihq/partial-emlx-converter

  Convert .emlx and .partial.emlx files created by Apple’s Mail.app to .eml

  Language:TypeScript748

• benfred/py-spy

  Sampling profiler for Python programs

  Language:Rust13.1k439

• fabsig/GPBoost

  Combining tree-boosting with Gaussian process and mixed effects models

  Language:C++58047

• lme4/lme4

  Mixed-effects models in R using S4 classes and methods with RcppEigen

  Language:HTML635149

• ejolly/pymer4

  All the convenience of lme4 in python

  Language:Python19426

• bambinos/bambi

  BAyesian Model-Building Interface (Bambi) in Python.

  Language:Python1.1k127

• textmate/latex.tmbundle

  TextMate support for LaTeX

  Language:Python9764

• M-Nauta/TCDF

  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

  Language:Jupyter Notebook484108

• EmuKit/emukit

  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

  Language:Python611127

• probabilistic-numerics/probnum

  Probabilistic Numerics in Python.

  Language:Python44457

• akelleh/causality

  Tools for causal analysis

  Language:Python1.1k129

• cmu-phil/tetrad

  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

  Language:Java410113

• dfm/celerite-grad

  A note about gradients with celerite

  Language:Jupyter Notebook32

• mlysy/SuperGauss

  Superfast inference for stationary Gaussian time series

  Language:C++23

• joshspeagle/dynesty

  Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

  Language:Python36580

• microCOVID/microCOVID

  Estimating the COVID risk of ordinary activities

  Language:TypeScript27055

• santisoler/cc-licenses

  Creative Commons Licenses for Github

  558303

• exoplanet-dev/celerite2

  Fast & scalable Gaussian Processes in one dimension

  Language:C++7211