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Showing 21 open source projects for "complex"
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DeepCTR-Torch
Easy-to-use,Modular and Extendible package of deep-learning models
...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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The GR module for Julia
Plotting for Julia based on GR
...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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Constructs
Define composable configuration models through code
Constructs are classes that define a "piece of system state". Constructs can be composed together to form higher-level building blocks which represent a more complex state. Constructs are often used to represent the desired state of cloud applications. For example, in the AWS CDK, which is used to define the desired state for AWS infrastructure using CloudFormation, the lowest-level construct represents a resource definition in a CloudFormation template. These resources are composed to represent higher-level logical units of a cloud application, etc. -
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PyMC3
Probabilistic programming in Python
PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable... -
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
...It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies easy on-boarding for their team members, freeing them up from complex systems admin and security processes. Administrators control data access and resource provisioning for their users. Notebook Instances are another option. They have the familiar Jupyter and JuypterLab interfaces that work well for single users, or small teams where users are also administrators. Advanced users also use SageMaker solely with the AWS CLI and Python scripts using boto3 and/or the SageMaker Python SDK. -
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Open tool platform for the cost effective rigorous development of dependable complex software systems services. This platform is based on the event-B formal method and provides natural support for refinement and mathematical proof.
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M2SQL
Replicate your Mumps Globals into Relational Data Base
M2SQL is a handy tool that permits to map your existing Mumps Globals in a relational Vision. The mapping process is simple and intuitive and is done only once. The Mapping process will describe the Mumps Globals data as a complex of Applications, Hierarchies, Relations and fields. Once mapping is completed you will able to replicate all the Mumps data into Target Relation database such as SQLITE or MYSQL. Normally you will do the replication process once a day while system is silent. This will give you a Relational Replication for Reporting or Business Analysis using industry standard tools. ... -
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DRAKON Editor
A free cross-platform editor for the DRAKON visual language.
DRAKON is a diagram language developed within the Russian space program. Its primary objective is presenting complex software systems in a way which is easy to understand by humans. 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. -
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Edward
A probabilistic programming language in TensorFlow
...Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. ... -
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ATS4 AppModel is an application flow design tool supporting application specification work, model based testing and test script generation. It provides simple interface to manage complex models. ATS4 AppModel is part of Nokia ATS tool family.
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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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JUMLStateMachine
Java library implementing a state machine by the UML standard.
JUMLStateMachine is a Java library implementing a state machine by the UML standard. The purpose for the library is to be easily usable for small state machines, yet extendable and scalable for larger and more complex ones. -
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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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Pi combines a programming language (comparable to 'R') with an advanced GUI including 3D and 2D visualizations and a highly flexible interface to analyse, visualize and manipulate data. It is extendible by C++ librarys as well as by Pi-scripts
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The KlassModeler is a cross platform tool for visually creating C++ classes and class relationships. It generates attractive header files as well as HTML Documentation. An intuitive user interface makes it easy to work with large, complex models.
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Mangrovia is a tool for automatic complex multilayer topology generation in a compatible format with Network Simulator 2 (ns-2). Based on specs (in xml format), software creates an otcl script. Users can set Bandwidths, Distances, Linking Policies.
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Complex list management with an extremely versatile interface. Built-in sorting (with abstract variants), finding, iteration, and element manipulation. Supports const-interface elements. Transparent 'virtual array storage' (VAS) for large element types
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The objective of this project is to enable seamless integration between webMethods and the jasper intelligence suite. It will allow pixel perfect reporting solutions with complex data integration requirements to be developed in minutes.
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pmMDA - poor man MDA - is a pragmatic MDA code generation engine based on Velocity. The implementation is done in Java. The input model is defined using UML tools - e.g. ArgoUML -. Target frameworks are provided to realize complex applications.
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LSystemBuilder is a program for editing and visualizing L-systems. LSystemBuilder makes it easy to explore fractals, FASS-curves and complex branching structures. Naturally LSystemBuilder comes packed with loads of predefined L-systems.
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SeSAm (Shell for Simulated Agent Systems) provides a generic environment for modelling and experimenting with agent-based simulation with a special focus on the easy construction of complex models including dynamic interdependencies or emergent behaviour
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