New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.
Start 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.
Claim $300 Free
MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB 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.
Perico is a dialogue management library. It allows you to specify a dialogue agent: a computer program that can interact with a user (or other agents) using (natural language) messages.
The Word Problem Solver is a program that is able to solve math word problems like they are teached in the first four classes in primary school. Currenty the program is restricted to math word problems that are presented in german language.
This program shall implement some rule systems for ants. Special interest is to do researches about the conflict behaviour. The project is written with the mason-library (page: http://cs.gmu.edu/~eclab/projects/mason/ ) and mainly with the scala programming language
Carafe is an implementation of Conditional Random Fields and related algorithms targeted at text processing applications. The latest version, jCarafe, is implemented in Scala and runs on the JVM.
An artificial neural network, currently specialized to save a specific bit pattern, mainly by changing the signal propagation delays in links. More features, variables and algorithms will be added in time.
PhiWeave is a machine learning library for structured prediction via factor graphs. It is part of an ongoing effort to implement and improve on the current state-of-the-art in inference and parameter estimation for graphical models.