Search Results for "linux file parser" - Page 26

The VISL Phrase Structure Grammar Compiler is an implementation of a parser generator for ambiguous context-free grammars, ambiguous input, and ambiguous output.

JFIPA is intended to be a scalable, easy-to-deploy router and parser of messages between agents using the FIPA Agent Communication Language represented as XML

Facis is a computer vision project based on OpenCV. It enables face detection and identification.

NXTAI's main objective is to create a new generation of natural language processing program by using a unique neural networking model. To demonstrate the algorithm works, A chatbot will be developed as a classical example of how it can be used.

Multi Expression Programming is a genetic programming method that encodes multiple solutions. It aims to solve difficult problems like classification or symbolic regression.

A command-based multi-account Tibia servers client with scripting support.

Top Engine the Semantic Web Engine for the Enterprise. Top Engine is a Business Rule Engine that utilize OWL DL ontologies for vocabulary primitive to write rules on top of ontology. Top Engine support forward and backward chaining with truth maintenance

This Project would create an automaton that could interact with humans or other automaton in the net. It is developed by creating a kernel and a plugin system tha add more capacity to interact with the enviroment that it is in.

The OBO-Annotator is a semantic NLP tool that is designed to give its end-users a great deal of flexibility to combine any number of OBO ontologies from the OBO foundry regardless of their format and use them to annotate text-bases.

A gui based man against machine poker (texas hold them) end user application which will deduce and adapt to the player's strategy.

EveAI processes the data assuming that it has already been read by a sensor. Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.

Reputation Sentinel OS v3.0: Autonomous Brand Defense Infrastructure Sentinel OS v3.0 is a sovereign AI framework for brand protection and automated response. Built on n8n with a massive 1,500+ logic nodes architecture, it offers depth and privacy far beyond traditional SaaS. Total Data Sovereignty: Unlike expensive monthly platforms, Sentinel OS runs on your own infrastructure. You own your data and your brand's defense. Key Capabilities: Omni-Channel: 24/7 autonomous tracking...

This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.

Devstral 2 is a large-scale agentic language model purpose-built for software engineering tasks, excelling at codebase exploration, multi-file editing, and tool-driven automation. With 123B parameters and FP8 instruct tuning, it delivers strong instruction following for chat-based workflows, coding assistants, and autonomous developer agents. The model demonstrates outstanding performance on SWE-bench, validating its effectiveness in real-world engineering scenarios. It generalizes well...

Procedural content generation of deterministic and complex entities, with properties and other entities inside, defined by an editable XML file, along with a framework to simulate actions, compositions, and interactions of entities.

Devstral Small 2 is a compact agentic language model designed for software engineering workflows, excelling at tool usage, codebase exploration, and multi-file editing. With 24B parameters and FP8 instruct tuning, it delivers strong instruction following while remaining lightweight enough for local and on-device deployment. The model achieves competitive performance on SWE-bench, validating its effectiveness for real-world coding and automation tasks. It introduces vision capabilities,...

Qwen2.5-VL-3B-Instruct is a 3.75 billion parameter multimodal model by Qwen, designed to handle complex vision-language tasks in both image and video formats. As part of the Qwen2.5 series, it supports image-text-to-text generation with capabilities like chart reading, object localization, and structured data extraction. The model can serve as an intelligent visual agent capable of interacting with digital interfaces and understanding long-form videos by dynamically sampling resolution and...