This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
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R-CNN: Regions with Convolutional Neural Network Features
Chebfun: numerical computing with functions.
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Python implementation of the Short Term Objective Intelligibility measure
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
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.