Directions overlay for working with pandas in an analysis environment
created at Oct. 19, 2019, 9:51 a.m.
Library for machine learning stacking generalization.
created at May 10, 2016, 3:35 p.m.
SigOpt wrappers for scikit-learn methods
created at April 15, 2016, 8:58 p.m.
Genetic feature selection module for scikit-learn
created at June 9, 2016, 3:19 p.m.
Solve automatic numerical differentiation problems in one or more variables.
created at March 12, 2014, 5:31 p.m.
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.
A library that implements fairness-aware machine learning algorithms
created at Aug. 26, 2017, 8:15 p.m.
Python-based implementations of algorithms for learning on imbalanced data.
created at Aug. 24, 2016, 8:59 p.m.
🎆 A visualization of the CapsNet layers to better understand how it works
created at Jan. 19, 2018, 8:46 p.m.
Scalable machine 🤖 learning for time series forecasting.
created at April 26, 2021, 8:58 p.m.
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
created at June 7, 2016, 5:49 p.m.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
created at Aug. 27, 2015, 8:11 a.m.
Relevance Vector Machine implementation using the scikit-learn API.
created at Aug. 2, 2015, 4:04 p.m.
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.