Search Results for "model-builder" - Page 39
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Showing 2014 open source projects for "model-builder"
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Universal Android JvApkBuilder Tool
Easy reskin, clone and build android app.
Windows desktop software tool - apk android builder, app maker. Reskin tool for developer android no coding (without coding). -
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The MCAPL Project provides a tool for prototyping BDI agent programming languages and model checking programs written in these languages via an interface to the JavaPathfinder model checker.
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haikuVM
A Java VM for ARDUINO and other micros using the leJOS runtime.
HaikuVM has been started for hobbyists who develop applications for ARDUINO to open the world of JAVA and leJOS. Yes, you can program an ARDUINO with JAVA! HaikuVM is so small that it even runs on an atmega8 (and the ASURO robot). And yes, you can program an ASURO robot with JAVA! And since version 1.4.0 the RCX lego brick. -
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REST Layer
REST Layer, Go (golang) REST API framework
REST Layer is a Go framework for building customizable REST APIs on top of pluggable storage backends. It is inspired by Python Eve and aims to reduce repetitive API boilerplate while still allowing developers to model business-specific resources. The framework focuses on schema-driven resources, validation, filtering, hooks, and storage abstraction. It is useful for teams that want to expose structured data through a REST interface without hand-writing every endpoint from scratch. Its design treats API resources as configurable models that can be connected to different persistence layers. ... -
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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Qwicap is a Java web application development API that discards the traditional hit-run-exit CGI model, provides rich state, and a powerful XML "templating" engine to avoid mixing code and content. It builds on Servlet, XHTML and CSS technologies.
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Teach Me Quantum
Practical Course on Quantum Information Science and Quantum Computing
A university-level course on Quantum Computing and Quantum Information Science that incorporates IBM Q Experience and Qiskit. This course is adequate for general audiences without prior knowledge on Quantum Mechanics and Quantum Computing (see prior knowledge), has an estimated average duration of 10 weeks at 3h/week (see duration), and is meant to be the entrypoint into the Quantum World. -
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tcomb
Type checking and DDD for JavaScript
tcomb is a JavaScript library for defining and checking runtime types in Node.js and browser environments. It gives developers a concise syntax for modeling values, structures, interfaces, enums, unions, refinements, and other domain-level constraints. The library is useful in JavaScript projects where static type information is unavailable or insufficient at runtime. It can validate external inputs, document data expectations, and support safer programming patterns without requiring a full... -
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X10
Performance and Productivity at Scale
X10 is a class-based, strongly-typed, garbage-collected, object-oriented language. To support concurrency and distribution, X10 uses the Asynchronous Partitioned Global Address Space programming model (APGAS). This model introduces two key concepts -- places and asynchronous tasks -- and a few mechanisms for coordination. With these, APGAS can express both regular and irregular parallelism, message-passing-style and active-message-style computations, fork-join and bulk-synchronous parallelism. Both its modern, type-safe sequential core and simple programming model for concurrency and distribution contribute to making X10 a high-productivity language in the HPC and Big Data spaces. ... -
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benerator is a framework for creating realistic and valid high-volume test data, used for load and performance testing and showcase setup. Data is generated from an easily configurable metadata model and exported to databases, XML, CSV or flat files.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). ... -
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targets.vim
Vim plugin that provides additional text objects
...The plugin also adds “next” and “last” variants, enabling you to operate on the upcoming or previous occurrence without moving the cursor first. Its design emphasizes predictability: the same mental model as built-in objects applies across many new patterns. Because it’s purely text-object oriented, it composes naturally with motions, operators, and dot-repeat for powerful refactors. This dramatically speeds structural edits in code and markup where consistent delimiter logic matters. -
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Laravel Binary UUIDs
Optimised binary UUIDs in Laravel
Using a regular uuid as a primary key is guaranteed to be slow. The package can generate optimized versions of the uuid. It also provides handy model scopes to easily retrieve models that use binary UUIDs. The package currently only supports MySQL and SQLite. -
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tcomb-form-native
Forms library for react-native
...Although it reflects an older React Native ecosystem, it remains a notable example of model-driven form generation for mobile interfaces. -
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Ardent
Self-validating, secure and smart models for Laravel's Eloquent ORM
...Ardent deals away with these complexities by providing helpers for automating many repetitive tasks. Ardent is not just great for input validation, though, it will help you significantly reduce your Eloquent data model code. Ardent is particularly useful if you find yourself wearily writing very similar code time and again in multiple individual applications. -
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SystemC Network Simulation Library (SCNSL) is an extension of SystemC to allow modelling packet-based networks such as wireless networks, ethernet, fieldbus, etc. As done by basic SystemC for signals on the bus, SCNSL provides primitives to model packet trasmission, reception, contention on the channel and wireless path loss. The use of SCNSL allows the easy and complete modelling of distributed applications of networked embedded systems such as wireless sensor networks, routers, and distributed plant controllers. SCNSL has migrated: please go to GitLab for the latest version: https://gitlab.com/open-kappa/scnsl
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Blueprint Builder
The markup language for design the programs
...Examples of the using technology includes the blueprints of MultiText Editor, Blueprint Builder and Neutrino (Java library for text editing) The program costs $500. See Donate section for datails Install Java 1.6 from distributive firstly -
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vkDBF
dbf ntx clipper compatibility delphi component
vkDBF is a set of non-visual components that provides direct access to DBF tables, DBT and FPT LOB storage and NTX indexes from Delphi or C++ Builder. -
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tcomb-form
Forms library for react
...The project supports customization through templates, options, labels, placeholders, and field-level configuration. Although it belongs to an older React ecosystem, it remains a clear example of model-driven form generation for web applications. -
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Mixup-CIFAR10
mixup: Beyond Empirical Risk Minimization
...The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more robust to noise and adversarial examples. This repository implements mixup for the CIFAR-10 dataset, showcasing its effectiveness in improving generalization, stability, and calibration of neural networks. The approach acts as a regularizer, encouraging linear behavior in the feature space between samples, which helps reduce overfitting and enhance performance on unseen data. -
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How good is your software? jmove eases the understanding and valuation of the design and architecture of complex software written in java. It provides dependency analysis, metrics, design rule checking and impact analysis.
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...The project consists of low- and high-level API. Low-level API is responsible for exchanging properties (as Map) between various components. A component can be for example model, view or controller as in the MVC pattern. The main class is a class named Communicator. Communicator class defines the structure of components' system, provides communication channel between them and life-cycle management for each one. It also provides ability to run components in different threads (multitasking). IT CAN SUCCESSFULLY SPLIT MODEL'S THREAD FROM GUI THREAD
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go-kallax
Kallax is a PostgreSQL typesafe ORM for the Go language
go-kallax is a type-safe ORM for Go, designed to work seamlessly with PostgreSQL. It generates Go code from your database schema using model definitions, allowing for clean and performant data access without raw SQL. The library is built with Go idioms in mind and focuses on compile-time safety and ease of use. -
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Olympos is an holistic MDA/MDD approach to projects. It allows to create Web (PHP, J2EE), Desktop (c#) and Mobile applications (.NET, J2ME) from a UML model. Features a Web 2.0 IDE, a generator based on openArchitectureWare and several cartridges.
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cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
...The project includes scripts for training, evaluation, and data handling, making it easy to run experiments on datasets such as movie reviews or other labeled text collections. By breaking down the model into understandable components, it serves as a practical reference for students and practitioners learning how deep learning models handle text beyond traditional bag-of-words approaches. -
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Tiramisu
Polyhedral compiler for expressing fast and portable data algorithms
...Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout transformations. Currently, it targets (1) multicore X86 CPUs, (2) Nvidia GPUs, (3) Xilinx FPGAs (Vivado HLS) and (4) distributed machines (using MPI). It is designed to enable easy integration of code generators for new architectures.
