Open Source C Artificial Intelligence Software - Page 6

The library enables to create perceptrons with desired number of inputs and customized train rate. It enables to train the perceptrons according to the user input. Check the Wiki page for usage examples and API

CAMA (Context-Aware Mobile Agents) is a middleware for supporting mobile agents coordination. It is based on Linda-style coordination and provides numerous extentions for interoperability and fault-tolerance. It supports portable platforms such as PDAs.

CARMEN provides modular software for mobile robot control and navigation including: base and sensor control, obstacle avoidance, localization, path planning, people-tracking, and mapping. Language: C / Dependencies:gtk. See: http://carmen.sourceforge.net

This projects deals with different robotics algorithms such as motion planning (navigation) , vision SLAM, vision algorithms, and mapping.

Fast Haar-like object detection develop to CELL processor based plataform. This is reimplementing stump based algorithm of OpenCV library.

This project aims to create an application to solve the job shop schedule problem using genetic algorithm on the IBM Cell BE processor. This is useful especially using the power of Cell for the large scale job shop schedule problem.

CINAG is an UCI computer chess engine. This is a module which thinks about the game and try to find the best move for each position. Our goal is to create a quite strong opponent by using state of the art AI technics.

CIV Toolkit is a collection of computational intelligence and voice processing algorithms implemented for Cell Broadband Engine processors. Algorithms are implemented in C.

Interface and example projects for CLIPS on NT using the CLIPS DLL. Includes Web/CGI interface.

.NET library for embedding CLIPS in to .NET applications.

CLIPSwl is a modified project based on CLIPS(C Language Integrated Production System)(https://sourceforge.net/projects/clipsrules/), a public domain open-source software tool for building expert systems. CLIPS(ver. 6.24) is unsafe when access simultaneously occurs at the same environment, because the environment data of CLIPS are not protected for simultaneous access. We modified the CLIPS (ver. 6.24) to support lock/unlock functions in a flexible way. CLIPSwl doesn't use complicated logic such as platform-independent mutex, but newly defines 4 abstract functions (i.e. using function pointers) for allocating, acquiring, releasing and deallocating locks of the environment data. Users may define their own functions that fit for their system by using their platform-dependent mutex. CLIPSwl also support the safe string-related functions treating the rules, and refining the warning parts of the code when compiling with gnu g++ compiler.

CNF-toolkit is a simple library for constructing and manipulating boolean formulae in conjunctive normal form.

The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.

CTL-RP stands for Computation Tree Logic Resolution Prover. Computation Tree Logic (CTL) is a branching-time temporal logic. CTL-RP is a resolution based theorem prover for CTL, which utilises a first-order theorem prover, SPASS, as a core engine for inference. Please see the following link for more details. http://cueb.science/web/software/ (if you are inside China.) http://ctlrp.sourceforge.net (if you are not inside China.)

Python bindings for the Transformer models implemented in C/C++ using GGML library.

Implementation of a feed-forward backpropagation artificial neural network using CUDA.

Cactus is a low-latency, energy-efficient AI inference framework designed specifically for mobile devices and wearables, enabling advanced machine learning capabilities directly on-device. It provides a full-stack architecture composed of an inference engine, a computation graph system, and highly optimized hardware kernels tailored for ARM-based processors. Cactus emphasizes efficient memory usage through techniques such as zero-copy computation graphs and quantized model formats, allowing large models to run within the constraints of mobile hardware. It supports a wide range of AI tasks including text generation, speech-to-text, vision processing, and retrieval-augmented workflows through a unified API interface. A notable feature of Cactus is its hybrid execution model, which can dynamically route tasks between on-device processing and cloud services when additional compute is required.

Cambio is a computer simulator of a robot with stereo, 3D vision. It is intended mainly as a tool for studying computer vision algorithms, but I might expand it to cover other topics in robotics of interest (sensorymotor cognition, reliability, etc).

Camera Kombat is an opensource fighting game based on computer vision that enables free, unencumbered interaction. In order to enable this level of interaction, images of the users are captured by a webcam and their gestures are recognized in real-time.

Cellicone is a project to develop an artificial life organism with the necessary components to make it comparable to biological life as we know it. This includes components ranging from proteins to cells to organs to limbs, and many steps between.

Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts. It then leverages language models to generate suggested answers, refinements, or explanations tailored to the ongoing discussion. Cheetah also connects with live coding environments through a browser extension, allowing it to analyze code and logs directly from supported platforms. Cheetah provides simple controls for generating answers, refining responses, and analyzing technical output, making it interactive during mock interviews.

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

CommonReality aims to bring a standard to the cognitive architecture, robotics, and sensor development community. CommonReality specifies a common interface for parceling the world into cognitively processable components. See the forums and mailing list

CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.

An attempt at developing an Artificial Inteligence software, based on the notion that inteligence is a set of conditional choices (in programming terms, it means a whole lot of if statements).