Implementations

A list of existing implementations that you can use for projects.

How to find them? Talking with people, Google, newsgroups (comp.ai.*), Google Groups (face-rec, ), and the references at the end of this page.

Learning

Machine Learning Open Source Software: forum for open source software in machine learning

OpenCV library: face detection algorithms (C/C++)
Beszedes: Face / Facial features / Expression recognition (C++ / C), skin detection (Matlab)
CSU Face Identification Evaluation System: 4 baseline face recognition algorithms (C), with training data
Malic: face recognition
AutoFaro, AutoFaro: face recognition with eigenfaces

GSnake:
OpenVidia: GPU accelerated Computer Vision Library
VXL: Vision-something-libraries
Color Image Segmentation: using controlled rival-penalized competitive learning in multiple color spaces (C++)
KLT Tracker: Kanade-Lucas-Tomasi tracker

Praat Phonetics Toolkit
CMUSphinx: speech recognition engine
HTK: Hidden Markov Model Toolkit
CMUSec: Acoustic Segmentation
tsylb2: Syllabification software (C)
Qualcomm-ICSI-OGI: speech detection, Wiener filter noise reduction, nonspeech frame dropping
Kleinschmidt: Gabor Feature Extraction for Automatic Speech Recognition
Sonic: Large Vocabulary Continuous Speech Recognition System (C++)
NICO Toolkit: artificial neural network (ANN) toolkit designed and optimized for speech technology applications

http://www.jjj.de/fxt/FXT: Fast transforms and low level algorithms
The Edinburgh Speech Tools Library: collection of C++ class, functions and related programs for manipulating the sorts of objects used in speech processing
SPTK: Speech Signal Processing Toolkit
NLTK: Natural Language Toolkit (Python)
MALLET: Advanced Machine Learning for Language
TiMBL: Tilburg Memory-Based Learner