jhpark9090 Goto Github PK

augsynth

Augmented Synthetic Control Method

balancehd

Approximately balanced estimation of average treatment effects in high dimensions.

cates

Machine Learning Estimation of Heterogeneous Causal Effects

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalnex

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

cloud-ml-examples

A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud

deepiv

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

di-engine

OpenDILab Decision AI Engine

doubleml-for-py

DoubleML - Double Machine Learning in Python

ds-wgan

Design of Simulations using WGAN

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.

els_on_genes-brain-cognition

fmri-cleanup

grf

Generalized Random Forests

gym-super-mario-bros

An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES

hete

Heterogeneous Treatment Effects

hydra

Heterogeneity through discriminative analysis

jhpark9090.github.io

loss-landscape

Code for visualizing the loss landscape of neural nets

lunar_causal_network

Created for Stony Brook University's Simons Summer Research Program in 2021

mcpanel

Matrix Completion Methods for Causal Panel Data Models

mediation

R package mediation

mlni

Machine Learning in NeuroImaging (MLNI) is a python package that performs various tasks using neuroimaging data.

mps_qnn

Entanglement characterization of variational quantum circuits using a Matrix Product State simulator and qiskit.

notebooks-contrib

RAPIDS Community Notebooks

policytree

Policy learning via doubly robust empirical welfare maximization over trees

qboost

Solve a binary classification problem with Qboost

qcnn_generalization

qleet

qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy parameterized quantum circuits.

qr-dqn

PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression