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A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
Helpful tools for building feature extraction pipelines with scikit-learn
A deck of Naive Bayes algorithms with sklearn-like API 🃏
Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
from zero to storm cluster for realtime classification using sklearn
A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn
Feature engineering package with sklearn like functionality
Extra blocks for scikit-learn pipelines.
Kaggle UPenn and Mayo Clinic's Seizure Detection Challenge
The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation
advertools - online marketing productivity and analysis tools
pyschedule - resource scheduling in python
Scikit-learn compatible Topic Modelling with Hierarchical Statistical Block Models (Gerlach, Peixoto and Altmann, 2018)
XGP Python package with a scikit-learn interface
This is a collection scripts and tools intended to provide a template on how to integrate and apply Scikit-Learn with ArcGIS Pro. The tools distributed enable access to various machine learning alg…
A generalization of the scikit-learn pipeline. Can evaluate directed graphs.
Natural language processing (NLP) & text mining functions / preprocessors / transformers, compatible with pandas and scikit-learn Pipelines.
The stream-learn is an open-source Python library for difficult data stream analysis.
A wrapper of IpCluster around Scikits Learn classifiers to perform parallel Cross Validation
Scikit-learn compatible Kernel Entropy Component Analysis in Python
Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)
A scikit-learn compatible implementation of hyperband
this is post-prune tree code for scikit-learn 0.18.0