jvpoulos Goto Github PK
Name: Jason Poulos
Type: User
Company: Brigham and Women's Hospital
Bio: Postdoc working on machine learning and health data science @ BWH and HMS
Location: Boston, MA
Blog: http://jasonpoulos.org
Name: Jason Poulos
Type: User
Company: Brigham and Women's Hospital
Bio: Postdoc working on machine learning and health data science @ BWH and HMS
Location: Boston, MA
Blog: http://jasonpoulos.org
Replication code for "Amnesty Policy and Elite Persistence in the Postbellum South"
Character-Based Handwritten Text Transcription with Attention Networks
Implementation of C-RNN-GAN.
Must-read papers and resources related to causal inference and machine (deep) learning
Methods of handling missing data for predicting earnings in UCI Adult dataset using neural networks
Predictive modeling in Diabetes (work-in-progress)
Code associated with arXiv manuscript 'DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps'
Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction
Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.
Replication code for "Land Lotteries, Long-term Wealth, and Political Selection"
Generative Adversarial Imputation Networks (GAIN)
Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"
A Theme for GitHub Pages
Keras implementations of Generative Adversarial Networks.
Keras implementation of LSTM Variational Autoencoder
Estimation and forecasting of VAR model with the Lasso
Longitudinal Targeted Maximum Likelihood Estimation package
Data, Benchmarks, and methods submitted to the M5 forecasting competition
Matrix Completion Methods for Causal Panel Data Models
Code and simulated data accompanying the paper "Targeted learning in observational studies with multi-level treatments: An evaluation of antipsychotic drug treatment safety"
sample code for our traffic4cast NeurIPS 2019 competition
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
R code for interacting with Opensecrets and Sunlight Foundation APIs
Replication code for "Estimating population average treatment effects from experiments with noncompliance"
Recurrent GANS for generating synthetic time-series data
Replication code for "RNN-based counterfactual prediction, with an application to homestead policy and public schooling"
:exclamation: This is a read-only mirror of the CRAN R package repository. Rsolnp — General Non-Linear Optimization
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.