Search Results for "layer" - Page 4
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Showing 399 open source projects for "layer"
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Mantle
Model framework for Cocoa and Cocoa Touch
Mantle makes it easy to write a simple model layer for your Cocoa or Cocoa Touch application. Core Data solves certain problems very well. If you need to execute complex queries across your data, handle a huge object graph with lots of relationships, or support undo and redo, Core Data is an excellent fit. If you're just trying to access some JSON objects, Core Data can be a lot of work for little gain. -
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Duct
Server-side application framework for Clojure
...For information on how to run and build your project, refer to the project's README.md file. The structure of the application is defined by an Integrant configuration map. Namespaces should group functions by purpose, rather than by layer. -
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ThinkTs
Based on koa and typeorm,asynchronous non blocking reactive coding
Based on koa and Typeform, asynchronous nonblocking reactive coding, and a real MVC web framework, inspired by [ThinkPHP + Nestjs + FastAPI], it is also the fastest development speed and fastest performance. -
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Centrallix Application Platform
Declarative rich internet application platform
Centrallix is a browser-based DDSL (declarative domain specific language) rich internet application platform featuring data and application abstraction, a SQL engine for joining diverse data sources, declarative (not scripted) development, reports, components, and style templates. -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
...And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the models’ pre-trained weights, append a new classifier layer on top of it, and retrain the network. This is called transfer learning, and is one of the most used techniques in CV. Aside from a few tricks when performing fine-tuning (if the case), it has been shown (many times) that if training for a new task, models initialized with pre-trained weights tend to learn faster and be more accurate then training from scratch using random initialization. -
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Cleanse
Lightweight Swift Dependency Injection Framework
Cleanse is a dependency injection framework for Swift. It is designed from the ground-up with developer experience in mind. It takes inspiration from both Dagger and Guice. Cleanse is responsible for building a graph (or more specifically a directed acyclic graph) that represents all of your dependencies. This graph starts with a root object which is connected to its immediate dependencies, and those dependencies hold edges to its dependencies and so on until we have a complete picture of... -
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Clay Golem
Golem is creating a global market for computing power
The Golem Network fosters a global group of creators building ambitious software solutions that will shape the technological landscape of future generations by accessing computing resources across the platform. Golem Network is an accessible, reliable, open access and censorship-resistant protocol, democratizing access to digital resources and connecting users through a flexible, open-source platform. With Golem Network, users can connect with ease and pay each other for sharing their unused... -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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Repository Beans is a toolkit for abstracting ATG Repositories into POJOs. By using Repository Beans one may develop against ATG Repositories, but retain the benefits of coding against POJOs.
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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yapydata
Lower-Layer unified data - JSON, XML, YAML + INI, CFG, properties
...Therefore it encapsulates the libraries by offering a common API with the canonical internal data as JSON compatible Python in-memory structure. The application is foreseen in particular for the lower layer of the software stack including setup-tools. Thus it uses standard libraries only whenever possible. The initial supported DDLs are: * JSON, XML, YAML and the formats * INI, CFG, .properties The yapydata in particular supports the advanced access to data entries by mapping the dotted-OID notation onto mixed in-memory data types, optional including non-conformant tyeps such as tuple and set. -
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yapyutils
Utilities for platform indepentent low-level system APIs.
...These are e.g. used for extensions of the *setuptools* and *distutils*, thus reduce the package dependency and avoid circular dependencies whenever possible by using standard packages and classes only. The more complex and complete data packages are provided for higher application layer functionality. The current release contains: * *yapyutils.modules* A utility to locate and load modules by a given name and/or file system path name, based on the *sys.path* variable. * *yapyutils.files* Search and location of files, e.g. modules and configuration files. * *yapyutils.help* Simple help for command line interfaces... -
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The Moqui Ecosystem is a series of open source components for enterprise applications all built on a common framework (Moqui Framework) written in Java and Groovy. The components include tools that plug in to the framework, business artifacts, and applications. Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable...
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TenorSpace.js
Neural network 3D visualization framework
TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization... -
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OMapper
Automate your bean mappings seamlessly
OMapper is a simple library to ease the process of mapping objects or beans from one design layer to another design layer, using annotations. One can specify mappings both in source class (Sink Annotation) and target class(Source Annotation). Supports mapping composed user class objects and array fields. It is NOT an ORM Framework like Hibernate, but it facilitates object to object mapping between different design layers. -
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YB.ORM is a tool for object-relational mapping (ORM) for C++. Inspired by things like Hibernate or SQLAlchemy. Should be database-independent. Includes a tool for code generation of Domain objects. Tables' metadata description is an XML file.
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Calimero
A free Java KNX network library
...The minimum JVM requirements are either Java ME/CDC 1.4 (Foundation Profile), or Java SE 8 (profile compact1). The library provides remote access and control, supporting KNXnet/IP, KNX IP, FT1.2, TP-UART, and KNX USB. Data exchange is supported on link layer using EMI 1/2 and cEMI, KNX data point types, application/management layer, as well as message buffering. -
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The 4Ever framework provides a OO access layer to a single or a set of XML files. The framework offers a set of basic management services as loading/saving, change history, and consistency checking. It is realized in a component-oriented way.
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Web Frameworks
Which is the fastest web framework?
...The main intention behind a framework is to facilitate (app or service) creation. The way a framework helps any developer may vary from one to another. Full-stack meaning it provides all aspects (-stacks-) from data layer to sometimes deployment. Micro meaning it provides only the routing part, and let the developer choose any other component for the others. On macos, you need to use docker-machine to allow docker usage for each framework. -
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Maru
Elixir RESTful Framework
...Inspired by Ruby’s Grape, it lets you describe endpoints declaratively—paths, verbs, and nested scopes—while composing reusable middleware via Plug. Strong parameter parsing and validators help keep controllers clean by moving input checking and coercion into the route layer. Built-in support for namespacing and API versioning simplifies rolling changes or maintaining multiple client generations side by side. Error handling, helpers, and content negotiation are wired into the DSL, so common cross-cutting concerns are consistent across endpoints. Because Maru sits on Plug and Cowboy, it retains Elixir’s performance and concurrency while making API development fast and readable. -
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A thin layer of Java code over Sun's Java code to make life easier for developers. Most of the classes are utility classes for example to support checking of method parameters, String methods, Mathematical methods et cetera.
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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solidMatter is a modular web application framework written in PHP. It focuses on an object-centric application design based on a modified, mostly JSR283-compliant JCR (Java Content Repository) as unified data storage with Web 2.0 capabilities.
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Madara
Middleware for distributed applications
...MADARA is composed of several tools and middleware, and the main entry point into the system is the Knowledge and Reasoning Language (KaRL) Engine, which provides a real-time scripting language for nanosecond execution times hooked into a flexible transport layer for distributed reasoning. The KaRL engine also supports object-oriented C++, Java, and Python programming through Containers, classes that provide abstractions and references for variable location within the KaRL Knowledge Base. This project is currently in process of being ported from http://madara.googlecode.com. -
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JS-Data
Give your data the treatment it deserves
...Adapters allow JSData to connect to various data sources such as Firebase, MySql, RethinkDB, MongoDB, localStorage, Redis, a REST API, etc. With JSData you can re-use your data modeling code between environments, keep your data layer intact when transitioning between app frameworks, and work with a unified data API on the server and the client. JSData employs conventions for rapid development, but allows for endless customization in order to meet your particular needs. -
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Simple, Fast, Extensible application framework for web sites and applications. Contains event notification system, Database layer, MVC. PHP / MySQL.
