Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)

Experiments with different neural network based time series forecasting methods

A Python package for standardizing medical data

tools to convert data from the HOPS format

A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Some example machine learning algorithm implementations from Berkeley's CS 281A during Fall 2012.

Simple command-line utility to convert CSV files to searchable and sortable HTML table.

Open source time series library for Python

Notes for Data Science 350 Class

Image-to-Image Translation in PyTorch

A Django content management system focused on flexibility and user experience

a django app to persist and retrieve scikit learn machine learning models

Machine Learning Versioning made Simple

A Python data analysis library that is optimized for humans instead of machines.

Sample code for deep learning & neural networks

A lightweight, backend-free open data portal, powered by Jekyll

Residual networks implementation using Keras-1.0 functional API

A twitter bot that tweets out FEC filings

OSSSM (awesome). Open source short-term secure messaging

automatic mustachifying of any image

Flask extension that provides simple integration with Elasticsearch

Presentation + Jupyter Notebook from PyGotham July 2016

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.