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dataloader - DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a consistent API over various backends and reduce requests to those backends via batching and caching
A data loading utility to reduce requests to a backend via batching and caching.
nodejs dataloader graphql batchlwip - Light Weight Image Processor for NodeJS
This module provides comprehensive, fast, and simple image processing and manipulation capabilities.There are no external runtime dependencies, which means you don't have to install anything else on your system.
image buffer manipulate process resize scale rotate jpeg jpg png gif crop blur sharpen batch flip mirror border padding hue saturation lightness alpha transparency fade opacity contain coveronyx - Distributed, masterless, high performance, fault tolerant data processing
Changelog can be found at changes.md.A searchable set of documentation for the Onyx data model is available.
distributed streaming batch dataDeepDiff - 🦀Amazingly incredible extraordinary lightning fast diffing in Swift
DeepDiff tells the difference between 2 collections and the changes as edit steps. It works on any collection of Equatable and Hashable items. By default, there is no .move. But since .move is just .delete followed by .insert of the same item, it can be reduced by specifying reduceMove to true.
diff batch update changes collectiongitbatch - manage your git repositories in one place
manage your git repositories in one place
git batch batch-download pull-streamjoin-monster - A GraphQL to SQL query execution layer for query planning and batch data fetching.
Efficient query planning and data fetching for SQL. Use JOINs and/or batched requests to retrieve all your data. It takes a GraphQL query and your schema and automatically generates the SQL. Send that SQL to your database and get back all the data needed to resolve with only one or a few round-trips to the database. ...and get back correctly hydrated data.
graphql graphql-js sql nodejs sql-query join query batch data schemaNCRFpp - NCRF++, an Open-source Neural Sequence Labeling Toolkit
Sequence labeling models are quite popular in many NLP tasks, such as Named Entity Recognition (NER), part-of-speech (POS) tagging and word segmentation. State-of-the-art sequence labeling models mostly utilize the CRF structure with input word features. LSTM (or bidirectional LSTM) is a popular deep learning based feature extractor in sequence labeling task. And CNN can also be used due to faster computation. Besides, features within word are also useful to represent word, which can be captured by character LSTM or character CNN structure or human-defined neural features. NCRF++ is a PyTorch based framework with flexiable choices of input features and output structures. The design of neural sequence labeling models with NCRF++ is fully configurable through a configuration file, which does not require any code work. NCRF++ is a neural version of CRF++, which is a famous statistical CRF framework.
pytorch ner sequence-labeling crf lstm-crf char-rnn char-cnn named-entity-recognition part-of-speech-tagger chunking neural-networks nbest lstm cnn batchPyTorch-Tutorial - Build your neural network easy and fast
In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years. Thanks for liufuyang's notebook files which is a great contribution to this tutorial.
neural-network pytorch-tutorial batch-normalization cnn rnn autoencoder pytorch regression classification batch tutorial dropout dqn reinforcement-learning gan generative-adversarial-network machine-learningEFCore
EntityFrameworkCore extensions: Bulk operations (Insert, Update, Delete, Read, Upsert, Sync) and Batch (Delete, Update). Library is Lightweight and very Efficient, having all mostly used CRUD operation. Was selected in top 20 EF Core Extensions recommended by Microsoft. It is targeting NetStandard 2.0 so it can be used on project targeting NetCore(2.0+) or NetFramework(4.6.1+). Current version is using EF Core 2.2 and at the moment supports Microsoft SQL Server(2008+) and SQLite. EFCore/v.Nuget: EFCore2.1/v2.4.1 EFCore2.0/v2.0.8, and for EF Core 1.x use 1.1.0 (targeting NetStandard 1.4) Under the hood uses SqlBulkCopy for Insert, for Update/Delete combines BulkInsert with raw Sql MERGE. For SQLite there is no BulkCopy, instead library uses plain SQL combined with UPSERT. Bulk Tests can not have UseInMemoryDb because InMemoryProvider does not support Relational-specific methods. If Windows Authentication is used then in ConnectionString there should be Trusted_Connection=True; because Sql credentials are required to stay in connection.
entity-framework-core entityframeworkcore entityframework efcore bulk batch sql sqlbulkcopy bulk-insertsdataloader - DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a consistent API over various backends and reduce requests to those backends via batching and caching
DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a simplified and consistent API over various remote data sources such as databases or web services via batching and caching. A port of the "Loader" API originally developed by @schrockn at Facebook in 2010 as a simplifying force to coalesce the sundry key-value store back-end APIs which existed at the time. At Facebook, "Loader" became one of the implementation details of the "Ent" framework, a privacy-aware data entity loading and caching layer within web server product code. This ultimately became the underpinning for Facebook's GraphQL server implementation and type definitions.
nodejs dataloader graphql batchopenmessaging-java - OpenMessaging Runtime Interface for Java
openmessaging specification for java
queue transaction pull push batch routing filtering streaming metrics tracing asynchronous oneway multi-tenanteasy-batch - The simple, stupid batch framework for Java
Easy Batch parent module
batch batch-processinggraphql-batch - A query batching executor for the graphql gem
Provides an executor for the graphql gem which allows queries to be batched.Define a custom loader, which is initialized with arguments that are used for grouping and a perform method for performing the batch load.
graphql promise batchBizTalk application batch exporter/importer
Tools to create batch files for exporting/importing BizTalk applications in bulk. It can also be used to make full backups of the environment.
batch biztalk biztalk-tools export import msiSharpF2
SharpF2 use the power of regular expression to rename a collection (batch) of files. Extract sub-strings from file names using REGEX. These sub-strings can be formatted and use to build the final file names.
batch batch-file-renamer file filename regex regular-expression renamebGui - User Interfaces in Batch
A small project for allowing basic user interface creation in batch. Still under strict development, see documentation for current functionality.
batch graphical gui interface user-interfaceSharePoint 2010 Batch Edit
Bulk & Batch updating list & document properties in SharePoint 2010. This ribbon custom action makes it possible to update multiple items with Managed Metadata properties, Enterprise Keywords, people picker, and many more.
sharepoint-2010 batch-edit-items batch edit list moss ribbonHTML Batch Logger
This is a simple Log class that can be used in any .NET C# Console Application. You can use it to log into an HTML file, console window, or database.
batch console-application html-logger log logger
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