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ai-toolbox

A C++ framework for MDPs and POMDPs with Python bindings

ai_clinician

Reinforcement learning for medical decisions

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causallib

A Python package for modular causal inference analysis and model evaluations

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

commot

deepqlearning.jl

Implementation of the Deep Q-learning algorithm to solve MDPs

deming2019-workshop

:dart: :school_satchel: Materials for a 2-day workshop on Targeted Learning with the tlverse at the 2019 Deming Conference on Applied Statistics

flower

Flower - A Friendly Federated Learning Framework

friendsdontletfriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

nhanes-diabetes

An ensemble model for predicting diabetes onset using NHANES Data

nhanesml

ML on NHANES nutrition data

npci

Non-parametrics for Causal Inference

pomdps.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

pytorch-cifar

95.47% on CIFAR10 with PyTorch

sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

usgsd

Analyze Survey Data for Free with the R Language