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Showing 1103 open source projects for "obd source code"
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GitHub Workflows Kt
Authoring GitHub Actions workflows in Kotlin
GitHub-workflows-kt is a tool for creating GitHub Actions workflows in a type-safe script, helping you to build robust workflows for your GitHub projects without mistakes, with pleasure, in Kotlin. We're often surrounded by YAML configuration. It's a powerful format that provides a simple syntax for defining hierarchical data, but it is sometimes used (abused?) to configure complicated scenarios which lead to complicated files that are difficult to write and maintain. Who among us hasn't... -
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Brave
Java distributed tracing implementation compatible with Zipkin backend
Brave is a distributed tracing instrumentation library. Brave typically intercepts production requests to gather timing data, correlate and propagate trace contexts. While typically trace data is sent to Zipkin server, third-party plugins are available to send to alternate services such as Amazon X-Ray. This repository includes dependency-free Java libraries and instrumentation for common components used in production services. For example, this includes trace filters for Servlet and log... -
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GraphQL Juniper
GraphQL server library for Rust
GraphQL is a data query language developed by Facebook intended to serve mobile and web application frontends. Juniper makes it possible to write GraphQL servers in Rust that are type-safe and blazingly fast. We also try to make declaring and resolving GraphQL schemas as convenient as Rust will allow. Juniper does not include a web server - instead it provides building blocks to make integration with existing servers straightforward. It optionally provides a pre-built integration for the... -
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satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Chokidar
Minimal and efficient cross-platform file watching library
Chokidar is a solution for all the users of Node.js fs.watch who are tired of it not reporting filenames on MacOS and events at all when using editors like Sublime on MacOS. Node.js fs.watch often reports events twice, emits most changes as rename, and it does not provide an easy way to recursively watch file trees nor supports recursive watching on Linux. Same as with Node.js fs.watchFile. Therefore, Chokidar resolves these problems. Initially made for Brunch (an ultra-swift web app build... -
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Lexbor
Lexbor is development of an open source HTML Renderer library
Lexbor is the development of a web browser engine available as a software library; it ships with a free license and has no extra dependencies. For us, speed is an absolute must-have. In our development process, we focus on fastest parsing techniques for HTML, CSS, and fonts, fastest data processing methods, and fastest ways to serve content to end users. Whether you are building a backend that handles millions of HTML documents or a UI-heavy user app, your software’s response rate always... -
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Rust-Lightning
Bitcoin Lightning library written in Rust
Rust-Lightning is a Bitcoin Lightning library written in Rust. The main crate, lightning, does not handle networking, persistence, or any other I/O. Thus, it is runtime-agnostic, but users must implement basic networking logic, chain interactions, and disk storage. The project implements all of the BOLT specifications in the 1.0 spec. The implementation has pretty good test coverage that is expected to continue to improve. It is also anticipated that as developers begin using the API, the... -
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Design Patterns in Swift
Design Patterns implemented in Swift
Design-Patterns-In-Swift is a repository that translates classic software engineering design patterns (from sources like the Gang of Four) into Swift code examples, so you can see how those patterns look in a modern, strongly typed, object-/protocol-oriented language. It covers creational, structural, and behavioral patterns: singletons, factories, decorators, observers, strategy, command, mediator, and more. For each pattern, you’ll typically see one or more Swift implementations,... -
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Azure Data SQL Samples
Official Microsoft repository containing code samples for SQL Server
...Releases allow you to conveniently download sample databases or applications without the need to build them from source code. Wide World Importers sample database v1.0 is the main sample for SQL Server 2016 and Azure SQL Database. It contains both an OLTP and an OLAP database. In-Memory OLTP Performance Demo v1.0 illustrates the performance benefits of the In-Memory OLTP technology built into SQL Server and Azure SQL Database. IoT Smart Grid sample v1.0 illustrates how SQL Server can be leveraged to ingest data from IoT devices. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations,... -
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Chartkick
Create beautiful JavaScript charts with one line of Ruby
Chartkick is a Ruby gem that makes it easy to generate beautiful charts in Rails and other Ruby applications with minimal code. It provides a high-level API where developers can use simple helpers like line_chart, pie_chart, or column_chart and pass in data arrays or ActiveRecord queries. Under the hood, it works with popular charting libraries such as Google Charts, Chart.js, and Highcharts, but hides their verbose JavaScript APIs behind a clean Ruby interface. It also handles things like... -
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GraphQL Java Tools
A schema-first tool for graphql-java inspired by graphql-tools for JS
This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. GraphQL Java Tools aims for seamless integration with Java, but works for any... -
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Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
Implementation of 'lightweight' GAN proposed in ICLR 2021, in Pytorch. The main contribution of the paper is a skip-layer excitation in the generator, paired with autoencoding self-supervised learning in the discriminator. Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before... -
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Lightly
A python library for self-supervised learning on images
A python library for self-supervised learning on images. We, at Lightly, are passionate engineers who want to make deep learning more efficient. That's why - together with our community - we want to popularize the use of self-supervised methods to understand and curate raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training... -
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Amazon EC2 Instance Selector
A CLI tool and go library which recommends instance types
A CLI tool and go library which recommends instance types based on resource criteria like vcpus and memory. There are over 270 different instance types available on EC2 which can make the process of selecting appropriate instance types difficult. Instance Selector helps you select compatible instance types for your application to run on. The command-line interface can be passed resource criteria like vcpus, memory, network performance, and much more and then return the available, matching... -
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Swagger Core
Examples, server integrations for generating Swagger API Specification
Swagger Core is a Java implementation of the OpenAPI Specification. Current version supports JAX-RS2 (javax and jakarta namespaces). One of the common usage scenarios is to integrate swagger-jaxrs2 into an existing or new JAX-RS based project ("code-first"), to automatically provide and expose its APIs definition, which is kept in sync during the project lifecycle. Such definition can be the base for further processing/consumption, including API documentation (e.g with swagger-ui, API client... -
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Jimp
An image processing library written entirely in JavaScript for Node
An image processing library for Node written entirely in JavaScript, with zero native dependencies. If you're using this library with TypeScript the method of importing slightly differs from JavaScript. Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't... -
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning... -
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OPENRNDR
Kotlin library for creative coding, real-time and interactive graphics
OPENRNDR is an open source framework for creative coding, written in Kotlin that simplifies writing real-time interactive software. OPENRNDR provides simple, reusable utilities with which creative coders can build robust, fast, and reliable (interactive) applications for prototyping as well as building production-quality software. With ORML you can easily connect to a number of widely used Machine Learning models, such as Facemesh, Posenet, and Stylegan. -
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SurveyJS
JavaScript Survey and Form Library
SurveyJS Form Library is distributed as npm packages and as scripts and style sheets that you can reference on your page. You can use it in any React, Angular, Vue, Knockout, or jQuery application. React, Angular, Knockout, and Vue3 are supported natively. To communicate with the server, the libraries use JSON objects that represent form schemas (content and layout of a form) and form results (answers). You have the option to build dynamic JSON-driven forms using our free full-featured... -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it... -
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Keybase client
Keybase Go library, client, service, OS X, iOS, Android, Electron
Keybase is secure messaging and file-sharing. We use public key cryptography to ensure your messages stay private. Even we can’t read your chats. Keybase works for families, roommates, clubs, and groups of friends, too. Keybase connects to public identities, too. You can connect with communities from Twitter, Reddit, and elsewhere. Don’t live dangerously when it comes to documents. Keybase can store your group’s photos, videos, and documents with end-to-end encryption. You can set a timer on... -
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OneFile
Curates delightful open-source projects
OneFile curates delightful open-source projects that each consist of a single file, highlighting how much you can learn from compact, self-contained code. The collection spans tiny games, utilities, servers, interpreters, and teaching demos where the entire idea fits in one readable source. This “one file” constraint makes every example approachable—you can open it, grasp the full control flow, and experiment without navigating a large codebase. -
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Enums.NET
Enums.NET is a high-performance type-safe .NET enum utility library
Enums.NET is a high-performance type-safe .NET enum utility library that provides many operations as convenient extension methods. It is compatible with .NET Framework 4.5+ and .NET Standard 1.0+. To help you migrate your code to using the new methods I have created the C# roslyn analyzer Enums.NET.Analyzer which provides a code fix to migrate your usage of the non-generic and unsafe methods to the new methods. -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
Lago is a study-oriented library of classic data structures and algorithms implemented in JavaScript with an emphasis on readability and learning. Instead of aiming to be a production runtime, it serves as a reference you can step through to understand how arrays, stacks, queues, linked lists, trees, heaps, graphs, and sorting/searching routines actually work. The implementations favor clarity over micro-optimizations, making them approachable for learners who are new to algorithmic thinking...
