drbenvincent's Stars
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
ml-explore/mlx
MLX: An array framework for Apple silicon
githubnext/monaspace
An innovative superfamily of fonts for code
mxgmn/MarkovJunior
Probabilistic language based on pattern matching and constraint propagation, 153 examples
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
quarto-dev/quarto-cli
Open-source scientific and technical publishing system built on Pandoc.
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jendrikseipp/vulture
Find dead Python code
jmschrei/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
custom-components/ble_monitor
BLE monitor for passive BLE sensors
deepcharles/ruptures
ruptures: change point detection in Python
BuzzFeedNews/everything
An index of all our open-source data, analysis, libraries, tools, and guides.
c4urself/bump2version
Version-bump your software with a single command
dswah/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
PacktPublishing/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
google/lifetime_value
OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
BasisResearch/chirho
An experimental language for causal reasoning
aloctavodia/BAP3
Figures and code examples from Bayesian Analysis with Python (third edition)
AllenDowney/empiricaldist
Python library that represents empirical distribution functions.
apoorvalal/ding_causalInference_python
python implementation of Peng Ding's "First Course in Causal Inference"
rdpackages/rdrobust
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
AlgebraicJulia/StockFlow.jl
aqreed/solarpy
Solar radiation model for flight dynamics. Based on Duffie & Beckman "Solar energy thermal processes" (1974)
causy-dev/causy
Causal discovery made easy.
jessicafew/CO2-decay-analysis
LukeLB/causal_inference_in_tech_industry_causalpy