luthfianto

linearmodels

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

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

Tutorials

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.

Design-Based-Inference

Design-Based Inference Mixtape Session taught by Peter Hull

biogeme

Biogeme is an open source freeware designed for the maximum likelihood estimation of parametric models in general, with a special emphasis on discrete choice models.

PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

skglm

Fast and modular sklearn replacement for generalized linear models

sixpack

Sixpack is a language-agnostic a/b-testing framework

lamed

an A/B testing backend using AWS Lambda/API Gateway + Redis.

alephbet

AlephBet is a pure-javascript A/B (multivariate) testing framework for developers.

Difference-in-Differences-Ring-Method

conformal-predictions-from-scratch

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

sparsehash

fastnode2vec

Fast and scalable node2vec implementation

human-learn

Natural Intelligence is still a pretty good idea.

Face-anti-spoofing-based-on-color-texture-analysis

Face anti-spoofing based on color texture analysis

tensor-house

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

pu-learning

A collection of notebooks that implement algorithms introduced in "Learning from positive and unlabeled data: a survey"

pulearn

Positive-unlabeled learning with Python.

coba

Contextual bandit benchmarking

IdMyPhBuildingFootprints

ML generated building footprints for Indonesia, Malaysia, and Philippines

placemark

A flexible web-based editor, converter, visualization tool, for geospatial data

skpro

A unified framework for tabular probabilistic regression and probability distributions in python

pywhy-llm

Experimental library integrating LLM capabilities to support causal analyses

cqr

Conformalized Quantile Regression

polynomial_boosting

Gradient Boosting with Polynomial Regression CART stumps

ArcticDB

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

PHP2550-Practical-Data-Analysis

active-bayesian-causal-inference

Active Bayesian Causal Inference (Neurips'22)