Search Results for "set" - Page 19

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).

The set of small utillites (library) implementing Artificial Intelligence algorithms.

An artificial intelligance framework using partitial order planning for C++. A set of classes that provide means for computer software to do simple planning to achieve a goal. Here we use predicate logics to tell the planner our current situation, out

...It was designed to be efficient, reliable, and highly modular; it is developed primarily in Python to promote maintainability and rapid development, but uses Cython and C in critical bottlenecks for efficiency. It focuses on high-quality implementations of a diverse set of the most widely used machine learning algorithms. An important goal of Betelgeuse is to have a clean, professional user interface amenable to less technical users, and to have multiple user interfaces for graphical, command line, and remote server use.

GAPI (pronunced gappy) is the Genetic Algorithms Programming Interface - a set of Java classes that allow users to easily integrate Genetic Algorithms into their Java programs. See "GAPI specs" in the Feature Requests forum for more info.

Visual CCG is a set of tools to help one view and manipulate XML-based CCG (Complex Categorical Grammars) tools.

Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The

libGMUVision is a set of C++ bindings for libdc1394 and Qt widgets designed and developed by the Artifical Intelligence Lab at George Mason University and now available under the GNU LGPL.

Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from a set of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.

Anna is a set of AIML files designed to create a chat bot that will win the 2002 Loebner Prize. Anna is a fundamental departure from other bots in that she identifies herself as human and has her personality built up from there.

The "Business to Business Operating System" is a set of Java-based modules for providing auctions, catalogs, directories as an open-source alternative to B2B E-Marketplaces. The "operating system" aspect relates to the resource allocation capability.

This is a set of general Artificial Intelligence libraries and tools (for now neural networks and datamining, but others will come)

An open source set of embedded software libraries in C, C++ and Assembler for robotics programming, targeting controllers using Motorola 68K/ColdFire & PowerPC micros. The initial target is the 68332-powered Mini RoboMind controller (www.robominds.com)

The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.

MAF (Mobile Agent Framework) is a research prototype which aims to facilitate the development and evaluation of mobile agent by providing a set of handy primitatives and simulation tools.

The Mistral Small 4 collection is a set of open-weight large language models developed by Mistral AI that aim to unify multiple capabilities, including instruction following, reasoning, and coding, within a single efficient architecture. These models are part of the broader Mistral Small family, which is designed to deliver strong performance across a wide range of everyday AI tasks while maintaining relatively low latency and efficient deployment requirements.

eye-pointer is a set of libraries and programs for computer vision, especially for locating the spot on the screen you're looking at. The ultimate goal is to incorporate that facility into a pointer (mouse) driver.

GraphSpider is a pattern matcher which searches parsed text in phrase-structure tree or dependency graph format for syntactic structures matching a set of patterns in MPL, a regexp-like pattern language. Applications: information extraction, text mining.

...Unlike standard BLEURT models from TensorFlow, this version is built from a custom PyTorch transformer library. It requires installing the model-specific library from GitHub to function properly. Once set up, it can be used to compute similarity scores with minimal code. BLEURT-20-D12 enables more flexible deployment in PyTorch-based workflows for evaluating language generation outputs.

...The model is distributed as raw weights that require specialized infrastructure to run, rather than being hosted by inference providers. To use it, users must download over 500 GB of files and set them up locally with the SGLang inference engine. Grok-2.5 supports advanced inference with multi-GPU configurations, requiring at least 8 GPUs with more than 40 GB of memory each for optimal performance. It integrates with the SGLang framework to enable serving, testing, and chat-style interactions. The model comes with a post-training architecture and requires the correct chat template to function properly. ...

...The model operates best with audio sampled at 16kHz and can transcribe Russian speech directly without a language model. It achieves a Word Error Rate (WER) of 13.3% and Character Error Rate (CER) of 2.88% on the Common Voice test set, with even better results when used with a language model. The model supports both PyTorch and JAX and is compatible with the Hugging Face Transformers and HuggingSound libraries. It is ideal for Russian voice transcription tasks in research, accessibility, and interface development. The training was made possible with compute support from OVHcloud, and the training scripts are publicly available for replication.

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Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine...