halflearned

manim

Animation engine for explanatory math videos

scikit-learn

scikit-learn: machine learning in Python

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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.

ndarray

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

celluloid

:movie_camera: Matplotlib animations made easy

zr-obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

rpy2

Interface to use R from Python

stats

A C++ header-only library of statistical distribution functions.

latex-online

Online latex compiler. You give it a link, it gives you PDF

math-with-slack

Rendered math (MathJax) with Slack's desktop client

pychord

Python library to handle musical chords.

easing-functions

A collection of Penner's easing functions for Python

uawardata

The data behind uawardata.com

rlearner

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

policytree

Policy learning via doubly robust empirical welfare maximization over trees

stanford-beamer-presentation

This is an unofficial LaTeX Beamer presentation template for Stanford University.

latex2blender

Code to render LaTeX and import it into Blender

confseq

Confidence sequences and uniform boundaries

forward

Port Forwarding Utility

costsensitive

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

gmail-vue

A Gmail clone written in Vue.js

oracle_cb

Experimentation for oracle based contextual bandit algorithms.

skgrf

scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library

sufrep

Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1

adaptive-confidence-intervals

Confidence Intervals for Policy Evaluation in Adaptive Experiments

amlinear

Augmented minimax linear estimation

stagadopt

Repo with package for paper "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption"

FHHPS

Linear panel data with two random coefficients

changeforest-simulations