Showing 29 of 29 projects
Matlab implementation of machine learning algorithms from Bishop's Pattern Recognition and Machine Learning textbook.
A MATLAB/Octave toolbox for deep learning with implementations of neural networks, deep belief nets, autoencoders, and convolutional networks.
A pioneering object detection system that combines region proposals with convolutional neural network features, significantly advancing detection accuracy.
An open-source, multi-platform flight dynamics model (FDM) library for aircraft and rocket simulation, written in C++.
A Model Predictive Contouring Controller (MPCC) for autonomous racing, enabling high-speed path following and obstacle avoidance.
Implementations of memory-augmented neural networks for language modeling, dialogue systems, and question answering tasks.
Converts MATLAB/Octave figures to TikZ/pgfplots figures for seamless integration into LaTeX documents.
A multi-language library providing implementations of common supervised machine learning evaluation metrics.
A curated list of awesome neuroscience libraries, software, and resources for researchers and developers.
A MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.
Open-source flight simulator, autopilot controller, and monitoring tools for the Makani airborne wind turbine project.
A MATLAB toolbox for advanced analysis of MEG, EEG, and iEEG data, developed at the Donders Institute.
MatLab/Octave implementations of popular machine learning algorithms with detailed mathematical explanations and code examples.
A Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning with high performance and syntax inspired by R, MATLAB, and Python.
A MATLAB/Octave toolbox for processing High Dynamic Range (HDR) images, including tone mapping and expansion operators.
A highly optimized C++ library for fast continuous wavelet transform calculations in C++, Python, and MATLAB.
An open-source C library for reading and writing binary MATLAB MAT files without requiring MATLAB.
A re-implementation of the SPP-net object detection algorithm using spatial pyramid pooling in deep convolutional networks for visual recognition.
A simple, multi-language implementation of the Iterative Closest Point algorithm for 3D point cloud registration.
A multi-language static call graph generator that parses source code to visualize function dependencies across 20+ programming languages.
Open-source runtime that executes MATLAB syntax on CPU and GPU automatically, with cross-platform hardware support and no vendor lock-in.
A computational pipeline that predicts drug-target interactions by learning low-dimensional vector representations from heterogeneous biological networks.
A Simulink library for importing and exporting Functional Mock-up Units (FMUs) for model exchange and co-simulation.
MATLAB code for inverting deep neural network representations to visualize and understand learned features from CVPR 2015.
A free, MIT-licensed object-oriented pattern recognition and machine learning toolbox for MATLAB.
A collection of scripts for training random forests and sparse filtering models on Kaggle datasets.
An all-in-one MATLAB software suite for state-of-the-art processing and quantitative analysis of in-vivo magnetic resonance spectroscopy (MRS) data.
A modular MATLAB-based platform for analyzing super-resolution microscopy (SMLM) data with GPU-accelerated fitting.
Simulates Game Boy Printer paper output using Arduino and GNU Octave/Matlab, with realistic thermal print effects and support for 110 games.
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