Stars
Algorithmic trading with deep learning experiments
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Use evolutionary algorithms instead of gridsearch in scikit-learn
Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
Team Buffalox8 predicts directional movement of stock prices.
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Machine Learning Tool Guides and Theory Notes
Replication files for social science research prepared by OriginDataLab
Source code for "Data Visualization with D3 Cookbook"
A d3-based parallel coordinates plot in canvas. This library is no longer actively developed.
Notebooks containing R code from Richard McElreath's Statistical Rethinking
Statistical Rethinking course and book package
Scikit-Learn tutorials
Sequential model-based optimization with a `scipy.optimize` interface
Python wrappers for the NVIDIA cuDNN libraries
Lightweight library to build and train neural networks in Theano
Simple, realtime visualization of neural network training performance.
Quantitative research and educational materials
Portfolio and risk analytics in Python
A collection of components that make it easy to build interactive charts with D3
Automatically exported from code.google.com/p/ga-bitbot-revived
A Python program to convert images into their "TSP solution" representations.
The "Python Machine Learning (1st edition)" book code repository and info resource