Pinned Repositories
abpcrawler
Website crawler for Adblock Plus
AgeGenderDeepLearning
bob
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.
CARC
Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval
CLM-framework
CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.
clmtrackr
Javascript library for precise tracking of facial features via Constrained Local Models
content
Official content for Harvard CS109
convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
cpprestsdk
The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
FaceX
A high performance open source face landmarks detector, based on explicit shape regression algorithm.
mschaubert's Repositories
mschaubert/FaceX
A high performance open source face landmarks detector, based on explicit shape regression algorithm.
mschaubert/abpcrawler
Website crawler for Adblock Plus
mschaubert/bob
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.
mschaubert/CARC
Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval
mschaubert/CLM-framework
CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.
mschaubert/clmtrackr
Javascript library for precise tracking of facial features via Constrained Local Models
mschaubert/convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
mschaubert/cpprestsdk
The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
mschaubert/datasciencecoursera
mschaubert/datasharing
The Leek group guide to data sharing
mschaubert/discover-iot-sample
Sample application from Discover IoT
mschaubert/face_kiosk
mschaubert/faceswap
Python script to put facial features from one face onto another
mschaubert/github-for-developers-7
mschaubert/knn-matting
Source Code for KNN Matting, CVPR 2012 / TPAMI 2013
mschaubert/learnopencv
Learn OpenCV : C++ and Python Examples
mschaubert/libpuzzle
A library to quickly find visually similar images
mschaubert/mexopencv
Collection and a development kit of matlab mex functions for OpenCV library
mschaubert/mods
MODS (Matching On Demand with view Synthesis) is algorithm for wide-baseline matching.
mschaubert/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
mschaubert/neural-style
Torch implementation of neural style algorithm
mschaubert/openbr
Open Source Biometrics, Face Recognition
mschaubert/OpenCVBlueprints
OpenCVBlueprints
mschaubert/openface
Face recognition with deep neural networks.
mschaubert/OpenFaceCpp
C++ implementation for OpenFace library by CMU.
mschaubert/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
mschaubert/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
mschaubert/research
comma.ai for the people to experiment with
mschaubert/tensorflow
Open source software library for numerical computation using data flow graphs.
mschaubert/VanillaCNN
Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l