Repository Index

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript

• optimization
• nonlinear
• derivatives
• code-generation

The Mines Java Toolkit

• geophysics
• scientific-computing
• visualization
• mines-java-toolkit

Plugins for bone image analysis

• fiji-plugin
• image-analysis
• image-processing
• imagej-plugins

Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.

• android
• java
• python
• scipy