Search Results for "linux device driver project"
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Showing 6 open source projects for "linux device driver project"
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AWS IoT Device SDK for JavaScript v2
Next generation AWS IoT Client SDK for Node.js using the AWS Runtime
This document provides information about the AWS IoT device SDK for Javascript V2. If you have any issues or feature requests, please file an issue or pull request. This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-http, aws-c-cal ...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to JS by the awscrt package. You will need to install NodeJS in orderto run the SDK on Windows,... -
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Zigbee Herdsman Converters
Collection of device converters to be used with zigbee-herdsman
Zigbee Herdsman Converters is a device-definition and conversion library used with zigbee-herdsman. It translates device-specific Zigbee messages into standardized application data and converts application commands back into Zigbee instructions. Individual definitions describe supported devices, exposed capabilities, endpoints, clusters, and behaviors. The library is a central part of the device compatibility layer used by Zigbee2MQTT. Developers can add support for new hardware by creating... -
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Summarize
Point at any URL/YouTube/Podcast or file
Summarize is a toolset that lets you point at almost any content and quickly extract the gist, whether that content is a webpage, a YouTube video, a podcast, or a local file. It’s built around a CLI workflow so you can summarize from the terminal, but it also includes a Chrome extension so you can do the same thing directly while browsing. The project pairs an on-device “daemon” style background service with user-facing commands and extension UI, so summaries can feel immediate and... -
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react-native-fast-tflite
High-performance TensorFlow Lite library for React Native
react-native-fast-tflite is a high-performance TensorFlow Lite library for React Native applications. It is built with Nitro Modules and uses the low-level C and C++ TensorFlow Lite core API for direct memory access. The library supports zero-copy ArrayBuffers, which helps reduce overhead when passing model inputs and outputs through React Native. It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. The project supports... -
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GraphQL for Nest framework
GraphQL (TypeScript) module for Nest framework (node.js)
GraphQL is a powerful query language for APIs and a runtime for fulfilling those queries with your existing data. It's an elegant approach that solves many problems typically found with REST APIs. For background, we suggest reading this comparison between GraphQL and REST. GraphQL combined with TypeScript helps you develop better type safety with your GraphQL queries, giving you end-to-end typing. In this chapter, we assume a basic understanding of GraphQL, and focus on how to work with the... -
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Offline First Database Comparison
An implementation of the exact same app in Firestore, AWS Datastore
In this project I have implemented the exact same chat application with different database technologies. You can use it to compare metrics and learn about the differences. The chat app is a web-based angular application, with functionality similar to Whatsapp Web. All metrics are measured automatically via code in a browser test (chrome:headless). The results heavily depend on the developer's device. You should compare the values relative to one another and not as absolute values. Also, you...
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