Search Results for "edge"
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Showing 10 open source projects for "edge"
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1
NATS
Server for NATS.io, the cloud and edge native messaging system
With flexible deployments models using clusters, superclusters, and leaf nodes, optimize communications for your unique deployment. The NATS Adaptive Edge Architecture allows for a perfect fit for unique needs to connect devices, edge, cloud or hybrid deployments. With true multi-tenancy, securely isolate and share your data to fully meet your business needs, mitigating risk and achieving faster time to value. Security is bifurcated from topology, so you can connect anywhere in a deployment and NATS will do the right thing. ... -
2
Node-RED
Low-code programming for event-driven applications
...A built-in library allows you to save useful functions, templates or flows for re-use. The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. This makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud. -
3
Porcupine
On-device wake word detection powered by deep learning
...It is perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, and BeagleBone. Android and iOS. Chrome, Safari, Firefox, and Edge. Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64). Scalable. It can detect multiple always-listening voice commands with no added runtime footprint. Self-service. Developers can train custom wake word models using Picovoice Console. Porcupine is the right product if you need to detect one or a few static (always-listening) voice commands. ... -
4
level
Universal abstract-level database for Node.js and browsers
...At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android. -
Atera - an All-in-one platform for IT managementYour IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
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5
faasd
A lightweight & portable faas engine
...To deploy microservices and functions that you can update and monitor remotely. When you don't have the bandwidth to learn or manage Kubernetes. To deploy embedded apps in IoT and edge use-cases. To distribute applications to a customer or client. You have a cost sensitive project - run faasd on a 1GB VM for 5-10 USD / mo or on your Raspberry Pi. When you just need a few functions or microservices, without the cost of a cluster. -
6
XBian
XBian is a small, fast and lightweight media center linux distro
XBian is a free, Open Source media center distribution for mini computers (currently Raspberry Pi, Solidrun's CuBox-i/Hummingboard supported). It can be downloaded at http://www.xbian.org. Our slogan is "bleeding edge" as our main focus is delivering the fastest media center solution. We believe that everyone can help make XBian better. Please visit our website for support and if you have suggestions, wishes or contributions, please share them with us! Want more info about XBian? You can read everything about it here: http://www.xbian.org/what-is-xbian/ -
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RaspArch for Raspberry Pi 5
RaspArch :: Run Arch Linux on your Raspberry Pi 5
ABOUT RaspArch is a “ready-to-go” ARM (aarch64) system. It can only run on a Raspberry Pi 5 computer. Build 260111 runs only on a Rpi5. INSTALLATION Use Rufus or Etcher in Windows. MORE about RaspArch When you have installed RaspArch to your Micro SD Card you can use the system like any other Arch Linux (aarch64) system. I.e. install new programs etc. Arch motto is KISS ("Keep It Simple Stupid"). WHO SHOULD RUN Arch Linux/RaspArch? My answer: The system fits the “advanced”... -
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TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
9
BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. -
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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10
GPUImage 2
Framework for GPU-accelerated video and image processing
...This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
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