Search Results for "apache framework"
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Showing 23 open source projects for "apache framework"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines... -
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aguacate
With aguacate you get a better taste
Aguacate is a framework with focus on implement business logic functionality, using configuration files (json) instead of programming. See the wiki and the videos See https://github.com/mcnew/aguacate-swagger-demo for a functional demo using docker-compose Videos in Spanish: https://www.youtube.com/playlist?list=PLSHQIkodyHroW2XF7BWCrymDv_Nlj7HRS -
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Scribe is a CMS for the Liferay Portal framework. It includes Web Content Management as well as Learning Management System features.
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AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional... -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important... -
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DESMO-J is a framework for rapidly building discrete event driven simulation models in Java, which is not restrained to any particular domain of application. It supports both event-oriented and process-oriented modelling views. See http://desmoj.de.
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DaNNet
Deep Artificial Neural Network framework using Armadillo
DaNNet is a C++ deep neural network library using the Armadillo library as a base. It is intended to be a small and easy to use framework with no other dependencies than Armadillo. It uses independent layer-wise optimization giving you full flexibility to train your network. -
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panFMP is a generic framework suitable for harvested XML metadata that is searchable through Apache Lucene without any additional RDBMS. Fields can be defined by XPath allowing for full text queries on all types of fields including numerical ranges. The code was moved to Github: https://github.com/pangaea-data-publisher/panfmp
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a... -
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simple-quiz
Simple quiz app using PHP >= 5.4 and MySQL.
Simple quiz app using PHP >= 5.4 and MySQL. Built with Slim, Bootstrap3 and Idiorm -
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A web-based interface for the Hadoop MapReduce framework that simplifies the process of writing and running MapReduce jobs. Aimed at introducing parallelism concepts in introductory computer science courses.
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acl_cpp
a powerfull c++ library for win32/linux, server framework, HttpServlet
acl_cpp(which has been included in acl project: https://sourceforge.net/projects/acl/ , please download it from acl project url) is a c++ wrap library for acl, and acl_cpp has many more useful functions than acl, such as streaming mime parsing, handler socket supporting, and db(mysql and sqlite) pool interface, HttpServlet, etc. With acl_cpp, you'll get more powerfull acl functions, and the quickly development, module programming, good luck! -
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The Emulation Framework offers a convenient way to render digital files in their native computer environment. The EF is software developed in Java by the international KEEP project, co-funded by the European Unions 7th Framework Programme.
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JsUnit is a port of JUnit to JavaScript. JUnit is a framework for building unit tests. A lot of JavaScript enabled products are supported along with command line support for automated test suites.
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eLML (eLesson Markup Language) is an XML framework for creating structured eLessons based on a pedagogical model. eLML consists of an XMLSchema and XSLT files to create XHTML, PDF, LaTeX, IMS CP and SCORM versions, standards supported by most LMS.
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MathJax is a modular javascript framework for including mathematics in web pages. It can take input in various formats, like TeX and MathML, and can produce output in various forms, such as MathML or HTML-with-CSS. Components are loaded as needed.
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jWic is a java-based development framework for developing dynamic web applications with the convenience and familiarity of 'rich client' style programming. PLEASE NOTE: We moved with the sourcecode to GitHub: https://github.com/xwic/jWic You will find the latest version there. The one here on SF is quite outdated....
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A comprehensive business framework to enable sophisticated enterprise workflows. Define, simulate and deploy cross-platform workflows while being able to enrich and customize the core services on demand.
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This package contains the original scpfw (A "framework" for teaching CP), JISIMONEK (a Java Implementation of the SIMONEK model) and SISONEK (a Java environment for studying Joinable Schedules).
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Easy tools suite & framework for fast development Enterprise Application. Quick start sample for using popular open-source projects. Strong Chinese support. ClearWork——中国中小企业快速构建信息系统的框架和复用工具集合。
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AvieOnline Framework solution for Learning Management System. This solution will provide repository for School, Courses Offered, Faculty, Students. The technology uses (Java 2 Enterprise Edition) J2EE concept.
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