tcfuji Goto Github PK

2013-pycon-awesome-big-data-algorithms

bayesnets.jl

Bayesian Networks for Julia

capi

Example CAPI implementation.

cause-effect

Kaggle cause-effect software

causeeffectpairschallenge

civichack

content

Official content for Harvard CS109

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.

graphs.jl

Working with graphs in Julia

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.

ipython-talk

Intro to Jupyter given at PyLadies

julia-penn-ml

UPenn Talk about Julia and ML

learning

What fellows are learning about data problems and tools

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

planner-json-interface

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

rewarddynamics

rust_for_rubyists

Learn Rust

sepsis-metrics

Work I did as a data science intern at Penn Medicine.

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