From b876451bcb859755ed4fd5d07a4cc5748f1fb8d4 Mon Sep 17 00:00:00 2001 From: Petr Pravda Date: Wed, 21 Oct 2026 19:01:35 +0200 Subject: [PATCH] Add JAX4J to Science --- README_SOURCE.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README_SOURCE.md b/README_SOURCE.md index 6a64a9cd..dcba271d 100644 --- a/README_SOURCE.md +++ b/README_SOURCE.md @@ -1018,6 +1018,7 @@ _Libraries for scientific computing, analysis and visualization._ - [DataMelt](https://datamelt.org/) - Environment for scientific computation, data analysis and data visualization. (GPL-3.0-or-later) - [Erdos](https://github.com/Erdos-Graph-Framework/Erdos) - Modular, light and easy graph framework for theoretic algorithms. - [Gephi](https://github.com/gephi/gephi) - Cross-platform for visualizing and manipulating large graph networks. +- [JAX4J](https://github.com/nablatensor-dev/jax4j) - Tensor library for Java 25 with NumPy-style broadcasting, automatic differentiation, JIT compilation and optional GPU backends. - [JFreeChart](https://github.com/jfree/jfreechart) - 2D chart library for Swing, JavaFX and server-side applications. - [JGraphT](https://github.com/jgrapht/jgrapht) - Graph library that provides mathematical graph-theory objects and algorithms. - [jSciPy](https://github.com/hissain/jscipy) - jSciPy is a Java library designed for scientific computing, offering functionalities inspired by popular scientific computing libraries. It currently provides modules for signal processing, including Butterworth filters, peak finding algorithms, and an RK4 solver for ordinary differential equations.