thanhan

pymc4

Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

auditblackbox

Data and code for the paper "Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation" presented at AAAI/ACM AIES 2018. https://arxiv.org/abs/1710.06169

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

explanation_explorer

A user interface to interpret machine learning models.

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

cubam

Caltech UCSD Binary Annotation Model (CUBAM)

crowd_clustering

Crowd clustering HIT for Amazon Mechanical Turk

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

STC2

Demo code for the paper STC2 which released three short text datasets for clustering and classification

active-crowd-toolkit

ActiveCrowdToolkit: Benchmarking tools for crowdsourcing research

ml-videos

A collection of video resources for machine learning

MACE-AL

utFND

newsdiffs

Automatic scraper that tracks changes in news articles over time.

news-please

news-please - an integrated web crawler and information extractor for news that just works

python-goose

Html Content / Article Extractor, web scrapping lib in Python

EmergentResearch

Code for my research under Professor Lease and An. I am an Undergraduate Research Assistant for Summer 2017

mscproject

event-registry-python

Python package for API access to news articles and events in the Event Registry

GoogleScraper

A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, ...). Including asynchronous networking support.

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

pandas_exercises

Practice your pandas skills!

Bayesic

Probabilistic programming for large datasets, via stochastic variational inference

autograd

Efficiently computes derivatives of numpy code.

SDS383D

Statistical Modeling II (Ph.D sequence in statistics)

Get-Another-Label

Quality control code for estimating the quality of the workers in crowdsourcing environments

recommend

recommendation system with python

deepImageAestheticsAnalysis

ECCV2016 - fine-grained photo aesthetics rating with interpretability