Automatic extraction of relevant features from time series:
- data-science
- feature-extraction
- time-series
Repository Index
47,133 repositories indexed
1–9 of 9 · Most stars
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
AnyChart Android Chart is an amazing data visualization library for easily creating interactive charts in Android apps. It runs on API 19+ (Android 4.4) and features dozens of built-in chart types.
- android-library
- android-development
- android-ui
- android-chart
A charts / plotting library for SwiftUI. Works on macOS, iOS, watchOS, and tvOS and has accessibility features built in.
Navigate to variable's definition with a click in JupyterLab (or with a few key strokes)
- jupyterlab
- jupyterlab-extension
- go-to-definition
- ide-features
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
- feature-engineering
- machine-learning
- feature
- features
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette