Search Results for "model-builder" - Page 78

ODPdom is a simple non-validating DOM (Document Object Model) parser written in C++. It can handle relatively large XML files with the size in order of n*10 MB (pro file). ODPdom provides a SWIG-generated interface to Python.

wxToolbox is a collection of widgets and controls for wxPython based on Model-View-Controller pattern.

MegaHAL is a 'conversation simulator' that learns as you talk to it. MegaHAL differs from conversation simulators such as Eliza in that it uses a Markov Model to learn how to hold a conversation. It is possible to teach MegaHAL to talk about new topic

XML and Python-based webserving framework, featuring XSLT, embedded Python evaluation, pipeline processing model and caching. Works with several XSL transformers and webserver interfaces.

XDevelopment framework implementation. Using technologies like XML and XSL, provides a new and extremely poweful development model.

ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.

FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.

It'll be a client written in python, probably using anygui and irclib. It will definately use an event based model. One of the key features will be the ability for a handler to mutate one event into another, allowing ry from #python on irc.openpr

MoPs is an interactive intelligent tutoring system that helps children learning to read and spell German words. It uses a special didactic model (known as the "Häusermodell") and has the full approval of the creators of this model.

Metagame-Sector is a Python framework for quickly and easily making Sector-based games (ie, Chess, Risk, Bard's Tale, Zelda, WarCraft, Civ). Features include Client-Server model, View separation (ie, you can have a GNOME and a Win32 frontend), and more.

Our idea for vgl is to build an object oriented Vector Graphics Library written in C++ using openGL for rendering. The focus of the library is to construct a clean object model that is exceptionally fast. We plan to support Linux, Win32 and Mac OS X.

Inphusion is an "adaptive object model" system which allows ridiculously rapid development of web applications by non-technical staff . "Inphusion is to {ebay, slashdot, etc.} as a Word Processor is to a Document"

A collection of portfolio management components. Sharpe Model for selection of an initial portfolio is already implemented. A genetic algorithms package, also written in java, is used for the search of the best portfolio variants.

A program which looks up dictionary words for you, generates vocabulary lists, and makes reading texts in foreign languages a bit easier.

RefChecker is a model checker for systems with a dynamic structure, such as e.g. Object Petri Nets.

Open source accounting project.Primary focus in this project is to develop proper model or framework of accounting system in MVC architecture.

KSql formerly KMySql) is the KDE database project. It aims to become a powerfull database access and SQL application builder.

ACF is a framework for writing model-checkers. ACF is built on the fundamental observation that the structure of most model-checking algorithms is independent of the formalism used to describe the system.

Leanstral is an open-weight large language model developed by Mistral AI and specifically designed as a code agent for the Lean 4 proof assistant, enabling advanced interaction with formal mathematics and program verification systems. The model is built to understand and generate Lean 4 code, which is used to express complex mathematical constructs as well as formal software specifications.

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 is a mid-sized open large language model created by NVIDIA to provide strong reasoning and conversational capabilities while maintaining efficient deployment requirements. The model contains roughly 30 billion parameters and is designed to balance performance and computational efficiency, making it suitable for developers building AI applications that cannot run extremely large models.

NVIDIA-Nemotron-3-Super-120B-A12B-FP8 is a large-scale open language model developed by NVIDIA as part of the Nemotron-3 family of generative AI systems designed for advanced reasoning, conversational interaction, and agent-based workflows. The model contains approximately 120 billion parameters, but employs a Mixture-of-Experts architecture that activates only a smaller subset of parameters during inference, improving computational efficiency while maintaining high capability. ...

Create game without programming, but optional you always can replace core engine (source code included)

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. The collection reflects an...

Development codes for hierarchical stochastic block models

MTCC (Model-Driven Test Case Construction) in an approach to the construction of acceptance tests by domain experts for testing system families based on feature models. MTCC is applied to the application domain of Digital Libraries.