Search Results for "apache framework"
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Showing 9 open source projects for "apache framework"
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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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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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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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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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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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