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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
The Mars Simulation Project is an open source Java project to create a simulation of future human settlement on the planet Mars.
See https://github.com/mars-sim/mars-sim for the LATEST issues/wiki/code change
...Obtaining the teachingbox:
FOR USERS:
If you want to download the latest releases, please visit:
http://search.maven.org/#search|ga|1|teachingbox
FOR DEVELOPERS:
1) If you use Apache Maven, just add the following dependency to your pom.xml:
<dependency>
<groupId>org.sf.teachingbox</groupId>
<artifactId>teachingbox-core</artifactId>
<version>1.2.3</version>
</dependency>
2) If you want to check out the most recent source-code:
git clone https://git.code.sf.net/p/teachingbox/core teachingbox-core
Documentation:
https://sourceforge.net/p/teachingbox/documentation/HEAD/tree/trunk/manual/
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values.
This project is now hosted at: https://github.com/febo/myra
MATSim is a framework for building multi-agent transport simulations.
MATSim has moved to GitHub: https://github.com/matsim-org/matsim
Sourcecode and newer releases are now hosted at GitHub!
Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
...For more information about the GeoHash algorithm go to (http://en.wikipedia.org/wiki/Geohash)
Snapshot from sourcecode are available at:
https://github.com/astrapi69/jgeohash.git
If you have suggestions or improvements of bugfixes please contribute back via github
INGENIAS Development Kit (IDK) is a framework for analysis, design and implementation of multi-agent systems (MAS). It is based on the specification of MAS meta-models, from which tools such as the model editor and code generation are generated.
Jason (AgentSpeak) implementation for Robocup Rescue, including launcher, TCP/UDP connection and agents for FireBrigade, FireStation, AmbulanceTeam, AmbulanceCenter, PoliceForce and PoliceStation.
Java Behaviour Trees is a Java framework for easily building and running generic behaviour trees. Here, "behaviour tree" refers to the technique used to control the behaviour of characters in video games.
IMPORTANT NOTE: our sourcecode has been moved to GitHub. You will find it at:
https://github.com/gaia-ucm/jbt
Note however that all the binary files will still be distributed here at SourceForge.
The Swarm Framework was created by the Santa Fe Institute for multi-agent based simulations. The original sourcecode was written in Objective C. This project aims to create a replacement for Swarm bindings for Java which needs native code to work.
Failed Payment Recovery for Subscription Businesses
For subscription companies searching for a failed payment recovery solution to grow revenue, and retain customers.
FlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
RoboBeans is an interface to the "Robocup 2D Soccer Simulation Server" that allows developers to write Robocup teams\agents concentrating on behaviour and AI without having to worry about syntax of communication or network issues.
Web-as-corpus tools in Java.
* Simple Crawler (and also integration with Nutch and Heritrix)
* HTML cleaner to remove boiler plate code
* Language recognition
* Corpus builder
This is a fork of the JollyNinja Bot for Robocode. The project intends to document JollyNinja's sourcecode, make it work in teams and provide a solid API to base other Bots on, especially TeamRobot based bots.
THIS PROJECT HAS BEEN MOVED TO GOOGLE CODE. HERE IS THE URI ... http://code.google.com/p/blackboardeventprocessor/ Regards, Bediako George www.lucidtechnics.com
This package contains code for the game of EasyGo, a modified version of the original game of go. This package provides a simple API so that the users can code and test their own players. Thus one can not only play, but also program their own players.
OlsenRoutes is a software environment with a powerful difference. It provides online users with a library of statistical tools and access to Olsen's database (1985 through today) of tick-by-tick foreign exchange trading prices.
It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use Artificial Neural Network to build the experiment