jvpoulos

causal-ml

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

Attention-OCR

Character-Based Handwritten Text Transcription with Attention Networks

MCPanel

Matrix Completion Methods for Causal Panel Data Models

rnns-causal

Replication code for "RNN-based counterfactual prediction, with an application to homestead policy and public schooling"

samsi-causalml

Causal Inference Working Group I: Machine Learning Methods for Causal Inference

multi-tmle

Code and simulated data accompanying the paper "Targeted learning in observational studies with multi-level treatments: An evaluation of antipsychotic drug treatment safety"

ga-lottery

Replication code for "Land Lotteries, Long-term Wealth, and Political Selection"

patt-c

Replication code for "Estimating population average treatment effects from experiments with noncompliance"

RGAN

Recurrent GANS for generating synthetic time-series data

amnesty

Replication code for "Amnesty Policy and Elite Persistence in the Postbellum South"

diabetes_pred

dpsom

Code associated with arXiv manuscript 'DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps'

eICU_Benchmark

homesteads

Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"

lassovar

Estimation and forecasting of VAR model with the Lasso

NeurIPS2019-traffic4cast

sample code for our traffic4cast NeurIPS 2019 competition

ok-lottery

Code and data for the paper "Gender gaps in wealth and entrepreneurship? Evidence from 1901 Oklahoma land lottery winners" https://arxiv.org/abs/2206.14922

c-rnn-gan

Implementation of C-RNN-GAN.

EventStreamGPT

Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.

GAIN

Generative Adversarial Imputation Networks (GAIN)

jvpoulos.github.com

A Theme for GitHub Pages

keras_lstm_vae

Keras implementation of LSTM Variational Autoencoder

ltmle

Longitudinal Targeted Maximum Likelihood Estimation package

M5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Rsolnp

:exclamation: This is a read-only mirror of the CRAN R package repository. Rsolnp — General Non-Linear Optimization

rtdl-revisiting-models

(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

stagadopt

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

TabTransformer

Implementation of TabTransformer and FTTransformer, attention network for tabular data, in Pytorch

thesis

Essays on the Political Economy of the American Frontier