Search Results for "machine learning"

Tablesaw is a dataframe and visualization library that supports loading, cleaning, transforming, filtering, and summarizing data. If you work with data in Java, it may save you time and effort. Tablesaw also supports descriptive statistics and can be used to prepare data for working with machine learning libraries like Smile, Tribuo, H20.ai, DL4J. Import data from RDBMS, Excel, CSV, TSV, JSON, HTML, or Fixed Width text files, whether they are local or remote (http, S3, etc.) Tablesaw supports data visualization by providing a wrapper for the Plot.ly JavaScript plotting library. Here are a few examples of the new library in action. ...

...This software was built upon the pre-existing Jmol package by Prof. Cheng's group. The software is developed in Prof. Jianlin Cheng's Bioinformatics, Data Mining and Machine Learning Laboratory in the Computer Science Department at the University of Missouri - Columbia, USA. The project is supported by the National Science Foundation (grant no. DBI1149224). If you use GMOL in your research, please cite: Nowotny, Jackson, Avery Wells, Oluwatosin Oluwadare, Lingfei Xu, Renzhi Cao, Tuan Trieu, Chenfeng He, and Jianlin Cheng. ...

It's a "Hello World" implementation of SOM (Self-Organizing Map) of Teuvo Kohonen, otherwise called as the Kohonen map or Kohonen artificial neural networks.

This project aims to develop a method to identify communities in a social network according to some point of view.

Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.

E-learning Miner, formerly DŽEMUj is a tool for data mining from e-learning data. Aimed for teachers.

ai applications,or 'aiapps', is a suite of applications applying algorithms and methods from the domain/field of artificial intelligence, machine learning, evolutionary computation, neural nets etc....to real world problems