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- machine-learning
- models
- ui
- ui-components
Repository Index
47,133 repositories indexed
1–15 of 15 · Most stars
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
📊 Re-usable, easy interface JavaScript chart library based on D3.js, with SVG and Canvas rendering support
Translated📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.
- kline
- time-line
- candlestick
- canvas
A tool for analyzing the size of compiled Go binaries, offering cross-platform support, detailed breakdowns, and multiple output formats.
- binary
- golang
- symbol
- visualization
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Add built-in support for quaternions to numpy
Support for jupyter notebook templates in jupyterlab
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
- matlab
- rust
- jit-compiler
- linear-algebra
JQuick-Pdf is an enterprise-grade Java PDF generation framework. It provides HTML-like declarative syntax and supports more than 30 kinds of graphs, greatly simplifying complex PDF report creation while retaining full native pdfbox(since version 4.0.0) APIs.
- apache-pdfbox
- charts
- data-visualization
- fonts
A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.
R-IDE: Make Sublime Text a perfect IDE for R
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
Tools to support transit service analysis.
Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+). No CGo, no external dependencies. Full support for numeric types, complex numbers, and multi-dimensional arrays. Cross-platform (Windows/Linux/macOS). Part of SciGoLib ecosystem.
- cross-platform
- data-science
- go
- golang