Bootstrapped Analysis of Stable Clusters- A semi-automated fMRI individual and group level functional parcellation technique
MIT License
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
General Assembly's 2015 Data Science course in Washington, DC
Distributed scikit-learn meta-estimators in PySpark
A Python package for common-nearest-neighbours clustering
Scikit-learn compatible estimation of general graphical models
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
Comparison-based Machine Learning in Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CI...
Helper functions for all stages of the machine learning cycle.
ML hyperparameters tuning and features selection, using evolutionary algorithms.
a Python machine learning library for neurophysiology data
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et...
The Brain Predictability toolbox (BPt), is a python based Machine Learning library designed prima...