This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
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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.
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
R-CNN: Regions with Convolutional Neural Network Features
OpenTLD is an open source library for real-time 2D tracking of a single object in video. This repository is no longer under development. For latest version see: http://www.tldvision.com/tld2.html
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
- matlab
- tikz
- pgfplots
- octave
Structured Edge Detection Toolbox
Python implementation of the Short Term Objective Intelligibility measure
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.