Open Source Python Artificial Intelligence Software

Febrl (Freely Extensible Biomedical Record Linkage) does data standardisation (segmentation and cleaning) and probabilistic record linkage ("fuzzy" matching) of one or more files or data sources which do not share a unique record key or identifier.

The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. See our YouTube channel for tutorial videos via the homepage. The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily.

Datapipe is a real-time, incremental ETL library for Python with record-level dependency tracking. Datapipe is designed to streamline the creation of data processing pipelines. It excels in scenarios where data is continuously changing, requiring pipelines to adapt and process only the modified data efficiently. This library tracks dependencies for each record in the pipeline, ensuring minimal and efficient data processing.

MSTParser is a non-projective dependency parser that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on large-margin discriminative training methods. Projective parsing is also supported. mstparser 0.5.1 is now available via Maven Central. If you use Maven as your build tool, then you can add it as a dependency in your pom.xml file: <dependency> <groupId>net.sourceforge.mstparser</groupId> <artifactId>mstparser</artifactId> <version>0.5.1</version> </dependency>

Sayz Me is a text-to-speech application for Windows. Text can be typed in or read from clipboard. Words are highlighted when spoken. Select voice, adjust reading speed, voice pitch, font and color. Simple and easy to use.

Reverned is a general purpose Bayesian classifier written in Python. It is designed to be easily extended to any application domain.

FEAR is a development kit helping software engineers create advanced artificial intelligence in synthetic characters with simplicity and efficiency. The project includes reusable AI components, portable framework and interfaces to realtime 3D games.

PROJECT HAS MOVED! ROS is now hosted at https://code.ros.org/gf/project/ros/

SecurePose, an open-source software, automates face blurring, human movement kinematics extraction and leg Dystonia diagnosis. The software provides clinical-grade face blurring with minimal manual effort. It was validated on videos recorded in clinical settings. The tool employs pose estimation to track and uniquely identify individuals, recognize patients, perform effective face blurring, and identify leg dystonia. SecurePose surpassed six existing methods in automated face detection and blurring and outperformed human performance in leg dystonia identification. This validation establishes its effectiveness and usability in clinically recorded gait videos for face blurring and kinematics extraction. For installation, https://www.rishabh-bajpai.com/secureposeinstallation Tutorial Videos https://www.youtube.com/playlist?list=PLO4_jCYO5Ib23MoBpn-Wpj1_b6DAYlDwk Please cite the paper: https://arxiv.org/abs/2402.14143

AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)

Using this plugin-based framework, you can instantly start working on the *brain* of your bot (irc bot, chatterbot, robot, ...). With support for db, irc, logging and programming-language independent plugins, users can easily enhance the functionality.

In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet controller (PacketCTL - a Netconf client). Then, configuration of the local transceiver laser frequencies of the controlled pluggable devices takes place, for facilitating the connectivity in-between the ROADM network. Also, the agent records and reports back telemetry data (feedback) which is used by the PacketCTL's resource-allocating mechanism to improve efficiency within the network topology.

Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence

a lightweight funny chat bot still in development (alpha 1.1) If anyone wants to clean it up a little bit that would be great :D coded in python and plan on keeping this project that way if you have any revisions or want to join the development team email me at 12bob50@gmail.com.

Here is a chat bot that will talk to users on Omegle Site, it uses AIML, python and requires connection to internet to work. You'll be amused to see the bot chat with other people on Omegle.

The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming"

A scientific enterprise to try to learn basic patterns using directed acyclic graphs.

This product recognizes oral commands and translates them to domotic orders for a domotic system. This product does not implement a domotic system. This product is an interface to be plugged to a domotic system. The speech recognition is done by an arduino UNO board and an EasyVR shield. Available oral commands are generated from a house description file in XML format. The oral commands have to be trained for a specific users. For this purpose 2 interfaces are provided: a command line interface and a web application. These interfaces allow to visualize oral commands, train and delete trainings.

DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation

Excors is a natural language interpretation system (chatterbot framework) that uses XML and Python for natural language modules.

Go-Mo-Cult is an implementation of the board game Gomoku (also known as "five in a row").

A program for school children to practice mental calculation. The output can be text or spoken using text to speech.

An agent-based situated language learning simulation that focuses on lexical learning and grounding, featuring a unigram syntax structure and a CFG-based semantic grammar. Created as a MSc thesis project, using python.

The program will convert to text an image, such as a photo , with the purpose of analyzing it to spot intelligible words. Use the program with photos of clouds, sea, soil, vegetation or any other photo of natural or man-made semi-homogeneous configuration, to reveal the hidden universal-philosophical messages of the image. You can also use it on photos of people or art pieces to have a psychological insight of the person portrayed or of the image author. The resulting text will be a long string of mostly repeating characters but, every so often, you will notice an intelligible word, either spelled normally or with repeated letters, missing letters or anagrammed letters.

MetaNet provides free library for meta neural network research. MetaNet library contain feed-forward neural net realisation and several integrated dataset (MNIST).