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Showing 15 open source projects for "high"
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DeepCTR-Torch
Easy-to-use,Modular and Extendible package of deep-learning models
DeepCTR-Torch is an easy-to-use, Modular and Extendible package of deep-learning-based CTR models along with lots of core components layers that can be used to build your own custom model easily.It is compatible with PyTorch.You can use any complex model with model.fit() and model.predict(). With the great success of deep learning, DNN-based techniques have been widely used in CTR estimation tasks. The data in the CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Low-order Extractor learns feature interaction through product between vectors. Factorization-Machine and it’s variants are widely used to learn the low-order feature interaction. High-order Extractor learns feature combination through complex neural network functions like MLP, Cross Net, etc. -
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TensorFlow Model Garden
Models and examples built with TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models... -
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The GR module for Julia
Plotting for Julia based on GR
This is the GR module for Julia. It places a Julia interface to GR, a universal framework for visualization applications. GR allows users to create high quality, engaging visualizations, everything from 2D graphs to complex 3D scenes. With this module simply type in Julia 'using gr', and you can instantly start calling functions in the GR framework API. GR is based on an implementation of a Graphical Kernel System (GKS) and OpenGL. As a self-contained system, integration into existing applications is quick and easy-- simply use a direct call from Julia with ccall syntax. -
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odaba
ODABA is an terminology-oriented database management system and develo
ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface and a powerful object-orjented script language (OSI) improve development efficiency. -
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Linguistic Tree Constructor
Syntax tree editor for rapid annotation of existing text
Linguistic Tree Constructor (LTC) is a tool for drawing lingusitic syntax trees of already-existing text. It is a syntax editor, not a text editor, so the text has to exist already. It is best suited for large-scale, rapid creation of hand-annotated treebanks. The user can define their own node categories, and can label each node with labels, also definable by the user. LTC supports "generic", X-Bar and RRG trees. Supports interlinear texts in SIL SFM format. -
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Unified Code Generation
Open-source code generator for Simulink/Stateflow
This project provides an open-source framework for the generation of high quality source code which is suitable for safety-critical applications and certification (e.g DO-178B). Currently a Simulink and Stateflow front-end and a C-language back-end are included. Some of the strengths of UCGN: - Clearly readable source-code - Separation of functionality and parameters ("tunable parameters") - Robust data storage (compile-time static structures in favor of pointer run-time constructs) - Clear software architecture, direct correspondence to the model architecture - Separation of reusable library code - Simplicity and uniformity of software interfaces (for testing etc.) ... -
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DRAKON Editor
A free cross-platform editor for the DRAKON visual language.
...DRAKON's motto: took a glance - understood at once. DRAKON Editor helps software architects, quality specialists and developers. Architects and quality assurers can express a high-level view of how their product works. DRAKON serves them to explain the dynamics of a software system. Software engineers can use DRAKON Editor to build algorithms in Go, Java, Processing.org, D, C#, C, C++, Python, Tcl, Javascript, Erlang and Lua. -
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SEPIA: Security-oriented PN Framework
Petri net framework for security related modeling and reasoning.
...To support information flow analysis of processes, SEPIA defines so-called IF-Nets, tailored for security-oriented workflow modeling which enable users to assign security-levels (HIGH, LOW) to transitions, data elements and persons/agents participating in the process execution. SEPIA builds upon TOVAL (http://sourceforge.net/p/toval), JAGAL (http://sourceforge.net/p/jagal) and SEWOL (https://sourceforge.net/projects/jawl/). To use SEPIA, make sure these libraries are on the build path. SEPIA encloses the Multi Schema Validator (https://msv.java.net/) and isorelax (http://iso-relax.sourceforge.net/) The documentation can be found under http://doku.telematik.uni-freiburg.de/sepia. -
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EasyCP
The easiest C++ way to deal with constraints !
EasyCP is a modern, user-friendly C++ library that lets you use constraint programming in a very natural way, taking advantage of its expressive power. Just model and let the CSP (Constraint Satisfaction Problem) solver do the job ! -
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SCOPE
SCOPE: Space-Based Coordination Process Engineering
SCOPE is a high-level coordination language which conforms to the BPMN 2.0 specification and is intended for architecture-centric model-driven software development. SCOPE differentiates between the space-based choreography of multiple concurrent process components and the orchestration of fine-grained activities within a single process component. -
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Model-based development environment for embedded projects. Features a clean and advanced language designed for embedded programming.
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GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
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The CoreASM project focuses on the design of a lean executable ASM (Abstract State Machines) language, in combination with a supporting tool environment for high-level design, experimental validation and formal verification of abstract system models.
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This project provides a framework for the generation of workflow code from high-level models. It enables people with no or little experience in this area to generate workflow code a reasonable time by specifying generation templates and reusing adapters.
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ObjectBuilder is a C++ CASE tool (CASE, refactoring, documentation generator). It lets you create, manipulate and navigate classes, class relations, class members and class methods at a high level of abstraction.
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