This is a project for CS229 at Stanford. The goal of our project is to implement an automated Texas Hold'em poker player that applies machine learning techniques (such as Reinforcement learning and Supervised learning schemes). Poker, compared to other strategy games like chess or checkers, is a m...

RL-Glue is an open source machine learning project that makes it easy for the reinforcement learning research community to connect and reuse agents and environments written in a variety of programming languages. For full details, please see the RL-Glue Homepage [http://glue.rl-community.org/]. ...

FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a library in [http://www.scala-lang.org Scala]. It provides its users with a succinct language for creating relational [http://en.wikipedia.org/wiki/Factor_graph factor graphs], estimating parameters and performing inferenc...

What is this project all about? This is a class project which aims to demonstrate a simple Proof of Concept about massive parallelization of Machine learning algorithms on a Distributed Fie System. For the purposes of proof of concept we use the Hadoop DFS and its JAVA API. The first fully function...

_... golems are often used today in metaphor either as brainless lunks or as entities serving man under controlled conditions, but hostile to him in others. ([http://en.wikipedia.org/wiki/Golem Wikipedia])_ Golem is a machine learning library, build around the concept of pluggable 'nodes'. Traina...

[OllMainJa Japanese Detail] [OllMainEn English Detail] *OLL* is a library supporting several for online-learning algorithms. *OLL* is specialized for large-scale, but sparse, learning tasks such as Natural Language Processing. While these algorithms are very efficient in terms of speed, and s...

Learning by observation is one of the most powerful socialization mechanisms. Actually this type of learning is still not available to software agents, because they don’t have the capacity to observe each other. The only type of observational learning that can occur in software agents is the observa...

My interests include (among other things) Machine Learning, Data Mining and AI. I will publish the results of my work, my experiments, my summaries on these areas within this project. Primarily the project aims to be a source of examples of Machine Learning, Data Mining and AI. *_IMPO...

{IBA}Miner is an expert system, being developed at the AI-Lab at IBA. The purpose of this software is to provide businesses an easy to use system in which the analysts can easily create and test models and the end-users get predictions for new instances.

ML# (ML-Sharp) is a machine learning toolkit created in C# 3.0. It is similar to the Weka library for Java, and it is able to consume some Weka functionality via interop through IKVM. ML# has numerous advantages over Weka including a cleaner API and faster run-time execution.