Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
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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
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
- matlab
- tikz
- pgfplots
- octave
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
ANSI C library for NURBS, B-Splines, and Bézier curves with interfaces for C++, C#, D, Go, Java, Javascript, Lua, Octave, PHP, Python, R, and Ruby.
- nurbs
- b-splines
- bezier-curves
- splines
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
- hdr
- tone-mapping
- inverse-tonemapping
- tonemapping
Application of music theory in audio reactive visualizations
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
Seamless Interface to Octave -- and Matlab code
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
MariaDB Client for GNU Octave (maybe this is compatible for MySQL and Matlab too)