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Text annotation application (Tapp) is a stand alone software component that facilitates the quick annotation of text files for the purpose of creating labelled data for training, testing, and deploying machine learning models
Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.
The Neurpheus Morphological Analyser performs morphological analysis, stemming or word form generation tasks using sophisticated classification methods for an analysis of words unseen in a training dictionary.
A project aims to develop a system which trains LDA model in distributed enviorenment. I studied Hadoop based solution and found that Hadoop is not fit for distributed LDA training case. In this project I implement a platform based on socket.
NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.
Joone is a neural net framework written in Java(tm). It's composed by a core engine, a GUI editor and a distributed training environment and can be extended by writing new modules to implement new algorithms or architectures starting from base component
Neural network trainer written in Java with the ability to easily add new training algorithms and training patterns. Includes a parallel training graphical interface where you can view each trainer working in real-time in parallel.
D-Cog (Declarative-Cognition) is a Java based framework for training software components (reusable, object-oriented, interface-driven components). Instead of programmed, software components are trained by example to get the expected results.
AINet is a general purpose Artificial Intelligence software application and network. It learns from experience and user training to solve problems and interact with the environment. It runs in workstation and robotic applications.
This project aims to create a block oriented visual workbench for general purpose systems modelling and simulation.
In the first milestone, we`ll build a simple GUI and the basic blocks to model neural network training and internetwork topologies.
JFacedec is aimed to build a flexible face detection system based on Java. The plug-in framwork makes it easy for you to share your own Training & Detection Algorithms, compare different methods and make progress together in this field.
The JAQPOT3 web services are OpenTox API-1.2 compliant web services. JAQPOT3 is a web application that supports model training and data preprocessing algorithms such as MLR, SVM, ANN and more.