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allstate

Kaggle's Allstate Purchase Prediction Challenge

altair_widgets

Interactive data exploration with Altair

anomaly

This is a non-trivial implementation of anomaly detection in time series as described in (https://ll.mit.edu/mission/cybersec/publications/publication-files/full_papers/2012_08_05_Carter_IEEESSP_FP.pdf).

bqplot

Plotting library for IPython/Jupyter Notebooks

c3repo

cad

Contextual Anomaly Detector

categorical-encoding

A library of sklearn compatible categorical variable encoders

cookiecutter-pypackage-minimal

A minimal template for python packages

deeplearning

energyscope-milp

energyscope v1.0: MILP monthly energy model as in (Moret, 2017): https://infoscience.epfl.ch/record/231814. More recent releases available @ the energyscope project repo: https://github.com/energyscope/EnergyScope

engie-dsc-automating-it

Automating IT Operations using Machine Learning

engie-dsc-imbalance-price

GEM - Predict Imbalance Price on Power Market

excalidraw-libraries

Collection of publicly available libraries

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

gbdt-pl

Gradient Boosting With Piece-Wise Linear Trees

groundtruth

Generate Ground Truth Data for one building in each campus, capturing all different types of sensors and relationships

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

hnnc

Hierarchical neural network classifier

interpret

Fit interpretable models. Explain blackbox machine learning.

josh-s-rep

Josh's Rep

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

m4metalearning

missingno

Missing data visualization module for Python.

mlens

mlens – a library for ensemble learning

nbeatsx

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

piecewise_linear_fit_py

fit piecewise linear data for a specified number of line segments

power-laws-optimization

Example repository for the Power Laws: Optimizing Demand-side Strategies competition on DrivenData

probability-integral-transformation