This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Repository Index
81,588 visible repositories in the index
1–16 of 16 · Most stars
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
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
Faster R-CNN
Transport coordinate between earth(WGS-84) and mars in china(GCJ-02).
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 is a resouce list for low light image enhancement
- low-light
- image-enhancement
- low-light-image-enhancement
- computer-vision
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
- image-denoising
- residual-learning
- super-resolution
- jpeg-deblocking
Robotics Toolbox for MATLAB
- matlab
- robotics
- kinematics
- dynamics
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
Instructions for building an almost consumer hardware based prototype of a hearing aid
- hearing
- hearing-aids
- signal-processing
- jack
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.
Histology Topography Cytometry Analysis Toolbox