The Matlab Toolbox for Dimensionality Reduction contains Matlab implementations of a large number of techniques for dimensionality reduction. A large number of implementations was developed from scratch, whereas other implementations are improved versions
Emergent (a major rewrite of PDP++) is a comprehensive simulation environment for creating complex, sophisticated models of the brain and cognitive processes using neural network models.
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
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