MentDB - Mentalese Database Engine

  •        28

The platform provides tools for AI, SOA, ETL, ESB, database, web application, data quality, predictive analytics, chatbot ..., in a revolutionary data language (MQL). The server is based on a new generation of AI algorithm, and on an innovative SOA layer to reach the WWD.

Mentalese is the language of thought structuring the human brain. This language is able to accommodate different common languages and allows autonomy in a machine. WWD literally means 'World Wide Data'. It is a global strategy. A concept of widespread standardization of the exchange of data or intelligences between companies and softwares in the world.

https://www.mentdb.org/
https://sourceforge.net/projects/mentdb/

Tags
Implementation
License
Platform

   




Related Projects

RapidMiner -- Data Mining, ETL, OLAP, BI

  •    Java

No 1 in Business Analytics: Data Mining, Predictive Analytics, ETL, Reporting, Dashboards in One Tool. 1000+ methods: data mining, business intelligence, ETL, data mining, data analysis + Weka + R, forecasting, visualization, business intelligence

Apache Synapse - Lightweight ESB engine and XML router.

  •    Java

Apache Synapse is a lightweight ESB engine and XML router.

Open SOA Platform

  •    

A centralized system for administering applications throught a SOA Enterprise Service Bus: Runtime environment (PROD, DEV, ...) , application and services versionning, security access level (SLA), activity monitoring.

Dremio - The missing link in modern data

  •    Java

Dremio is a self-service data platform that empowers users to discover, curate, accelerate, and share any data at any time, regardless of location, volume, or structure. Modern data is managed by a wide range of technologies, including relational databases, NoSQL datastores, file systems, Hadoop, and others. Many of the newer datastores are often more agile and provide improved scalability, but at a cost to speed and ease of access via traditional SQL-based analysis tools. Additionally, raw data found in these stores is often too complex or inconsistent for analysis to use with business intelligence tools.


aicore - The artificial intelligence code accompanying the book "Artificial Intelligence for Games"

  •    C++

The artificial intelligence code accompanying the book "Artificial Intelligence for Games"

ABAGAIL - The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms

  •    Java

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves. See Issues page.

SpagoBI - Business Intelligence Suite

  •    Java

SpagoBI is the only entirely open source Business Intelligence suite. It covers all the analytical areas of Business Intelligence projects, with innovative themes and engines. SpagoBI offers a wide range of entirely open source analytical tools like Reporting, OLAP, Chart, Data mining, Real-time monitoring console, ETL.

Agile_Data_Code_2 - Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

  •    Jupyter

Like my work? I am Principal Consultant at Data Syndrome, a consultancy offering assistance and training with building full-stack analytics products, applications and systems. Find us on the web at datasyndrome.com. There is now a video course using code from chapter 8, Realtime Predictive Analytics with Kafka, PySpark, Spark MLlib and Spark Streaming. Check it out now at datasyndrome.com/video.

auto_ml - Automated machine learning for analytics & production

  •    Python

auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on single dictionaries, roughly the process you'd likely follow to deploy the trained model. All of these projects are ready for production. These projects all have prediction time in the 1 millisecond range for a single prediction, and are able to be serialized to disk and loaded into a new environment after training.

pycm - Multi-class confusion matrix library in Python

  •    Python

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers. threshold is added in version 0.9 for real value prediction.

gdx-ai - Artificial Intelligence framework for games based on libGDX or not

  •    Java

An artificial intelligence framework, entirely written in Java, for game development with libGDX.The gdxAI project is a libGDX extension living under the libGDX umbrella. However it does not force you to use that specific framework if you do not wish to do so. The libGDX jar remains an essential requirement, mostly due to the use of libGDX collections which are optimized for mobile platforms by limiting garbage creation and supporting primitive types directly, so avoiding boxing and unboxing.

OpenCog - Framework to build Artificial Intelligence Programs

  •    C++

The OpenCog Framework is a platform to build and share artificial intelligence programs. It includes components for procedural and declarative knowledge representation (AtomSpace), task scheduling (CogServer), AI algorithm containers (MindAgents), connectors to instant messaging and virtual world systems, and other components. MindAgents and other add-ons explore a wide variety of AI techniques including evolutionary program learning (MOSES), natural language processing, and others.

AI-Programmer - Using artificial intelligence and genetic algorithms to automatically write programs

  •    CSharp

Read the research paper BF-Programmer: A Counterintuitive Approach to Autonomously Building Simplistic Programs Using Genetic Algorithms. AI-Programmer is an experiment with using artificial intelligence and genetic algorithms to automatically generate programs. Successfully created programs by the AI include: hello world, hello , addition, subtraction, reversing a string, fibonnaci sequence, 99 bottles of beer on the wall, and more. It's getting smarter. In short, it's an AI genetic algorithm implementation with self modifying code.

ruby-warrior - Game written in Ruby for learning Ruby and artificial intelligence.

  •    Ruby

This is a game designed to teach the Ruby language and artificial intelligence in a fun, interactive way. You play as a warrior climbing a tall tower to reach the precious Ruby at the top level. On each floor you need to write a Ruby script to instruct the warrior to battle enemies, rescue captives, and reach the stairs. You have some idea of what each floor contains, but you never know for certain what will happen. You must give the Warrior enough artificial intelligence up-front to find his own way.

Snake - Artificial intelligence of the Snake game.

  •    Python

This project focuses on the artificial intelligence of the Snake game. The snake's goal is to eat the food continuously and fill the map with its bodies ASAP. The old version of this project is written in C++. Now it has been rewritten using Python for a user-friendly GUI and the simplicity in the implementations of algorithms. Requirements: Python 3.5+ with Tkinter installed.

opencog - A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

  •    Scheme

OpenCog is a framework for developing AI systems, especially appropriate for integrative multi-algorithm systems, and artificial general intelligence systems. Though much work remains to be done, it currently contains a functional core framework, and a number of cognitive agents at varying levels of completion, some already displaying interesting and useful functionalities alone and in combination. With the exception of MOSES and the CogServer, all of the above are in active development, are half-baked, poorly documented, mis-designed, subject to experimentation, and generally in need of love an attention. This is where experimentation and integration are taking place, and, like any laboratory, things are a bit fluid and chaotic.

Artificial-Intelligence-Terminology - The English-Chinese paired terminologies in Artificial Intelligence Domain

  •    

The English-Chinese paired terminologies in Artificial Intelligence Domain

high-school-guide-to-machine-learning - Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students

  •    

Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt to create one. Over the past few months, I've tried to spend a couple of hours every day understanding this field, be it watching Youtube videos or undertaking projects. I've been guided by older peers who've had far more experience than me, and now feel that I have ample experience to share my insights.