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.
Adaptive: parallel active learning of mathematical functions
created at Dec. 10, 2017, 1:47 a.m.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
created at Feb. 23, 2023, 5:16 p.m.
A fast xgboost feature selection algorithm
created at Aug. 23, 2017, 9:43 p.m.
A library of metrics for evaluating recommender systems
created at Oct. 15, 2018, 3:29 p.m.
Relevance Vector Machine implementation using the scikit-learn API.
created at Aug. 2, 2015, 4:04 p.m.
🎆 A visualization of the CapsNet layers to better understand how it works
created at Jan. 19, 2018, 8:46 p.m.
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
created at June 7, 2016, 5:49 p.m.
Python-based implementations of algorithms for learning on imbalanced data.
created at Aug. 24, 2016, 8:59 p.m.
A library that implements fairness-aware machine learning algorithms
created at Aug. 26, 2017, 8:15 p.m.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
created at Aug. 27, 2015, 8:11 a.m.
Solve automatic numerical differentiation problems in one or more variables.
created at March 12, 2014, 5:31 p.m.
Scalable machine 🤖 learning for time series forecasting.
created at April 26, 2021, 8:58 p.m.
Genetic feature selection module for scikit-learn
created at June 9, 2016, 3:19 p.m.