Monte (python) is a Python framework for building gradient based learning machines, like neural networks, conditional random fields, logistic regression, etc.
Pyro stands for Python Robotics. The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of the underlying hardware.
The course covers supervised approaches to machine learning. It starts by reviewing fundamentals of statistical learning and probabilistic pattern recognition followed by an in-depth introduction to various supervised learning algorithms such as Least Squ
This paper deals with the automated creation of ge-
ometric and photometric correct 3-D models of the
world. Those models can be used for virtual reality, tele–
presence, digital cinematography and urban planning ap-
plications. The combination of range (dense depth esti-
mates) and image sensing (color information) provides
data–sets which allow us to create geometrically correct,
photorealistic models of high quality.
Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Growing Neural Gas (GNG), Factor Analys
My primary research interests are concentrated in the areas of bioinformatics, data mining, and parallel processing, and from time-to-time I look at various problems in the areas of information retrieval, collaborative filtering, and electronic design aut
APRIORI algorithm was originally proposed by Agrawal in "Fast Algorithms for Mining Association Rules" in 1994 to find frequent itemsets and association rules in a transaction database. Here you can download a fast, trie-based, command-line implementation
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, a