Stars
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
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.
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
A Python data analysis library that is optimized for humans instead of machines.
Sample code for deep learning & neural networks
GSA / jkan
Forked from JJediny/jkanA lightweight, backend-free open data portal, powered by Jekyll
Residual networks implementation using Keras-1.0 functional API
OSSSM (awesome). Open source short-term secure messaging
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.