Search Results for "source testing unit testing"

LLMFarm is a framework designed to simplify the deployment, management, and utilization of large language models in local or self-hosted environments, focusing on accessibility and efficient resource usage. It enables users to run LLMs on personal hardware or private infrastructure, reducing dependency on external APIs and improving data privacy. The system typically provides a user-friendly interface for loading models, configuring inference parameters, and interacting with them through...

Recast Navigation is an open source toolkit designed for building navigation meshes and performing pathfinding in 3D environments, particularly for video games and simulations. It provides a set of libraries that transform input geometry into navigation meshes that AI agents can use to move through virtual worlds. Its core component, Recast, constructs navigation meshes by rasterizing triangle meshes into voxels, filtering out areas that are not walkable, and converting the remaining regions...

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

Part-of-speech tagging is the task of assigning symbols from a particular set to words in a natural language text. ACOPOST implements and extends well-known machine learning techniques and provides a uniform environment for testing.

BNNS is a research tool for interactive training of artificial neural networks based on the Response Function Plots visualization method. It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data.

MERP is a modular low cost robot platform designed as a research tool or for personal use. It allows real world testing of algorithms developed in simulation for trajectory planning, obstacle avoidance, human robot interaction, among others.

A test suite and benchmark for exact Euclidean distance transform algorithms used in Image Processing and computational geometry. It evaluates the exactness and speed of algorithms for a large number of test cases. Results can be visualized in Scilab.

This project aims to produce a structure for the design and implementation of an Artificial Intelligence system based on the idea of determinism. This is to be completed with the creation of an AI system, a testing interface, and example applications.