batchflow by analysiscenter
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
created at March 13, 2017, 2:22 p.m.
pyjanitor by pyjanitor-devs
Clean APIs for data cleaning. Python implementation of R package Janitor
created at March 4, 2018, 10:43 p.m.
adaptive by python-adaptive
Adaptive: parallel active learning of mathematical functions
created at Dec. 10, 2017, 1:47 a.m.
BoostARoota by chasedehan
A fast xgboost feature selection algorithm
created at Aug. 23, 2017, 9:43 p.m.
recmetrics by statisticianinstilettos
A library of metrics for evaluating recommender systems
created at Oct. 15, 2018, 3:29 p.m.
scikit-rvm by JamesRitchie
Relevance Vector Machine implementation using the scikit-learn API.
created at Aug. 2, 2015, 4:04 p.m.
mlforecast by Nixtla
Scalable machine 🤖 learning for time series forecasting.
created at April 26, 2021, 8:58 p.m.
hamilton by DAGWorks-Inc
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
created at Feb. 23, 2023, 5:16 p.m.
scikit-mdr by EpistasisLab
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
created at June 7, 2016, 5:49 p.m.
bayesloop by christophmark
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
created at Aug. 27, 2015, 8:11 a.m.
CapsNet-Visualization by bourdakos1
🎆 A visualization of the CapsNet layers to better understand how it works
created at Jan. 19, 2018, 8:46 p.m.
imbalanced-algorithms by dialnd
Python-based implementations of algorithms for learning on imbalanced data.
created at Aug. 24, 2016, 8:59 p.m.
themis-ml by cosmicBboy
A library that implements fairness-aware machine learning algorithms
created at Aug. 26, 2017, 8:15 p.m.
sigopt-sklearn by sigopt
SigOpt wrappers for scikit-learn methods
created at April 15, 2016, 8:58 p.m.