Search Results for "java-legacy" - Page 30
Sort By:
Showing 1265 open source projects for "java-legacy"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
This project assembles the implementations of inference engines for CHORD, an object-oriented extension of CHRD.
-
2
Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.
-
3
proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computer vision applications.
-
4
A text to speech converter which will be able to read any document(Presently it is reading text and .doc files).The main aim of the project is to make reading an interesting task and assist BLIND people.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.
-
6
The aim of the project is to provide a testing tool that would reduce the cost associated with the regression testing process. The tool provides test case subset selection so that the user need not run the redundant test cases.
-
7
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
-
8
OO jDREW is an open source deductive reasoning engine for the RuleML web rule language. OO jDREW implements the object oriented extensions to RuleML which include: Order Sorted Types, Slots, and Object identifiers.
-
9
WSMO Studio is a Semantic Web Service and Semantic Business Process modelling environment based on the Web Services Modelling Ontology (WSMO). WSMO Studio is available as a set of Eclipse plug-ins that can be extended and customised by 3rd parties.
-
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
-
10
ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.
-
11
NaturalOWL generates descriptions of individuals and classes from OWL ontologies that have been annotated with linguistic and user modeling resources expressed in RDF. Currently it supports English and Greek. NaturalOWL can be used as a Protégé plugin.
-
12
The Virtual Storyteller is a multi-agent framework for generating stories based on a concept called emergent narrative.
-
13
This project aims to develop a parser for Finnish. The parser and the system of grammatical competence assumed herein, are based on the minimalist theory of grammar (Chomsky 1995, 2005) and Bare Lexicon Hypothesis (Brattico, in prep).
-
14
Librería java de redes neuronales: Sencilla y rápida. Java Artificial Neural Networks library: Easy to use and high performance.
-
15
QuickAI (pronounced, "quickeye", or just "Quick" for short) is a return to the fundamental goals of creating an artificial intelligence. The priorities are to implement core models of knowledge and knowing, a reasoning engine, and a simple interface.
-
16
Provides a GUI interface to grammatical structure and relations (as parsed by the Stanford Parser) of any text. Contains grammatical relation editor to modify, import, export grammatical relation definitions (tregex patterns and features).
-
17
Dataset Retrieval through Intelligent Agents (DARIA): is an Open Source project for facilitating the construction of ARFF data set files for use with WEKA or any such Machine Learning/Data Mining Software through the use of Intelligent Agents.
-
18
SAgent86 is the Java code for a participant agent in the Agent Reputation and Trust (ART) Testbed 0.3.4.
-
19
Virtual News Reader is a computer desktop application that can convert text (idealy for online news) into Virtual Voice and can be saved on computer. The project is using Java, (JSAPI), FreeTTS (Text-To-Speech synthesis), DJProject, Substance, & other.
-
20
-
21
TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
-
22
JWNL is a Java API for accessing the WordNet relational dictionary. WordNet is widely used for developing NLP applications, and a Java API such as JWNL will allow developers to more easily use Java for building NLP applications.
-
23
T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.
-
24
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.
-
25
Case Based Reasoning is a technology to make a similarity based selection from a predefined set of cases. Each case is defined by a set of features. After some cases are stored it is possible to perform a search by specifying search feature values.
