Ted's repositories
BayesNets.jl
Bayesian Networks for Julia
capi
Example CAPI implementation.
cause-effect
Kaggle cause-effect software
intro_to_causal_inference
This IPython notebook was used to give the Penn Medicine Predictive Healthcare team exposure to the topic of causal inference and introduce them to some established methods.
sepsis-metrics
Work I did as a data science intern at Penn Medicine.
flask-gunicorn-app
A Python web server using Flask for production scale planning
givinggraph
An API tool to help understand the relationships between non-profits, for-profits, and the causes they support.
ipython-talk
Intro to Jupyter given at PyLadies
julia-penn-ml
UPenn Talk about Julia and ML
machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
my-dl-code
This repository contains some self-study work related to deep learning.
on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
papers-we-love
Papers from the computer science community to read and discuss.
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
prescription-drug-guide
A tool to help physicians prescribe less-expensive drugs for patients (#appsforphilly health hackathon, 2015)
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Probabilistic_Programming_and_Rugby
This is the slides from my upcoming talk in Luxembourg. This will be the test for my PyData talk in Berlin and will influence any tutorials i give
python-cn-workflow
Some work in Python done for the Complex Systems Group at Penn
python-meetup-graphplan-20160713
Slides from my talk on AI planning using the Graphplan algorithm implemented in python for the SF Python Meetup on July 13th, 2016
rust_for_rubyists
Learn Rust
some_thoughts_on_ai_research
Contains some responses to Artificial Intelligence (mostly in AI Safety) research papers and suggestions for future work that builds on their foundations.
spark-notebook
Interactive Scala REPL in a browser
stable-baselines3-explore
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Tech-OnBoarding-Class
Introductory Materials for Getting Started with HW/FW/SW
vindinium-starter-scala
Scala starter bot for Vindinium