Search Results for "edge"
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Showing 1125 open source projects for "edge"
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edge-tts
Use Microsoft Edge's online text-to-speech service from Python
edge-tts is a Python module and command-line tool that gives you direct access to Microsoft Edge’s online text-to-speech service without needing the Edge browser, Windows, or any API key. It wraps the same cloud voices used by Edge, exposing them through a simple CLI (edge-tts, edge-playback) and a Python API, so you can script high-quality speech generation in your own applications. -
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Remove MS Edge
Uninstall Microsoft Edge with an executable or batch script
Remove MS Edge is a Windows-focused project that packages methods to uninstall Microsoft Edge using either an executable approach or batch scripts, depending on how automated or hands-on you want the process to be. It targets users who prefer not to keep Edge installed and want a repeatable removal path rather than manual digging through system folders and app packages. -
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Google AI Edge Gallery
A gallery that showcases on-device ML/GenAI use cases
Gallery is a curated collection of on-device machine learning examples, demo apps, and model artifacts designed to help developers experiment with and deploy ML at the edge. The project bundles runnable samples that show how to run TensorFlow Lite/Edge TPU models (and similar lightweight runtimes) on mobile and embedded platforms, demonstrating common tasks like image classification, object detection, audio recognition, and pose estimation. Each sample is intended to be both a learning aid and a practical starting point: code is organized to show model loading, pre/post-processing, performance measurement, and common optimization knobs (quantization, NNAPI/Delegate usage, and hardware accelerators). ... -
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AWS IoT FleetWise Edge
AWS IoT FleetWise Edge Agent
Easily collect, transform, and transfer vehicle data to the cloud in near-real-time. AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles.... -
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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KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition, event processing, and other high-level applications to the Edge. ... -
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BepInEx
Unity / XNA game patcher and plugin framework
...Stable builds are released once a new iteration of BepInEx is considered feature-complete. They have the least bugs, but some newest features might not be available. Bleeding edge builds are available on BepisBuilds. Bleeding edge builds are always the latest builds of the source code. Thus they are the opposite to stable builds: they have the newest features and bugfixes available, but usually tend to be the most buggy. Therefore you should use bleeding edge builds only if you are asked to or if you want to preview the upcoming version of BepInEx. ... -
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EVE OS
EVE is Edge Virtualization Engine
EVE is an open-source, secure, and container-optimized operating system for edge computing, developed by the LF Edge foundation. It enables enterprises to deploy and manage edge applications on heterogeneous hardware platforms using a zero-trust architecture. EVE supports virtual machines, containers, and unikernels while being hardware-agnostic, making it suitable for industrial gateways, edge clusters, and IoT devices. -
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CUDA Containers for Edge AI & Robotics
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
...The project is particularly useful for developers building edge AI and robotics systems that rely on GPU-accelerated inference and real-time computer vision. By using containerized environments, developers can ensure that their applications run consistently across different Jetson platforms and JetPack versions. The repository also includes build tools and package management utilities that help automate the process of assembling machine learning environments. -
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OpenAI-Compatible Edge-TTS API
Free, high-quality text-to-speech API endpoint to replace OpenAI
OpenAI-Compatible Edge-TTS API is a local, OpenAI-compatible text-to-speech API that uses edge-tts—Microsoft Edge’s online TTS service—as the backend. The project emulates the /v1/audio/speech endpoint used by OpenAI, so any client that can talk to the OpenAI TTS API can be redirected to this service with minimal changes. It exposes parameters for input text, voice selection, audio format, and playback speed, mirroring the OpenAI interface while mapping popular OpenAI voice names to equivalent Edge voices. ... -
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Edge-TTS
Edge TTS Desktop turns text into speech through edge-tts.
Edge TTS Windows App Client. A modern minimalist TTS Software for Windows. ## Usage - Enter text or open .txt file. - Select Language, Region, and Voice. - Use the speaker button inside a Voice option to play its local sample. - Adjust the speech rate from -100% to +100%. - Select Play to generate and play speech. - Follow the synchronized highlight, seek from the player, or change playback speed -
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OpenYurt
Extending your native Kubernetes to edge(project under CNCF)
OpenYurt is built based on upstream Kubernetes and is now hosted by the Cloud Native Computing Foundation(CNCF) as a Sandbox Level Project. OpenYurt has been designed to meet various DevOps requirements against typical edge infrastructures. It provides a consistent user experience for managing the edge applications as if they were running in the cloud infrastructure. It addresses specific challenges for cloud-edge orchestration in Kubernetes such as unreliable or disconnected cloud-edge networking, edge autonomy, edge device management, region-aware deployment, and so on. ... -
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Gitako
File tree extension for GitHub on Chrome & Firefox & Edge
Gitako is a free file tree extension for GitHub, available on Chrome, Firefox and Edge. Various icons and official themes support. Support git submodule. Fold source code. It is more recommended for Edge users to install from the Chrome store. It may delay for weeks before updates got published to the Edge store because its review process is slow. Gitako doesn't share your private data at all. GitHub access tokens are required only when you access private repositories or exceed the GitHub API rate limit. ... -
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edgetunnel
edgetunnel 2.0 VLESS/Trojan
...Because it runs at the edge, latency can be minimized and deployment complexity simplified; users supply configuration variables (host, port, UUID, path) and the script handles mapping to technical protocols and subscription formatting. -
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RuView
Turn WiFi signals into real-time human sensing and spatial awareness.
RuView is an edge AI perception system that transforms ordinary WiFi signals into real-time environmental sensing and human pose estimation. Built on the concept of WiFi DensePose, it analyzes disturbances in WiFi Channel State Information (CSI) caused by human movement to reconstruct body position, breathing patterns, heart rate, and presence. Unlike traditional vision systems, RuView operates without cameras, wearables, or cloud connectivity, making it a privacy-first sensing solution. ... -
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MicroK8s
Single-package Kubernetes for developers, IoT and edge
Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. -
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ExecuTorch
On-device AI across mobile, embedded and edge for PyTorch
ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices. -
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EDGE Toolkit
Cross-platform Integrated Security Suite written in Go
Multi-purpose cross-platform hybrid cryptography tool for symmetric and asymmetric encryption, cipher-based message authentication code (CMAC/PMAC/GMAC/VMAC), recursive hash digest, hash-based message authentication code (HMAC), HMAC-based key derivation function (HKDF), password-based key derivation function (PBKDF2/Argon2/Scrypt), password-hashing scheme (Bcrypt/Argon2/Makwa), shared key agreement (ECDH/VKO/X25519), digital signature (RSA/ECDSA/EdDSA/GOST/SPHINCS+), X.509 CSRs, CRLs and... -
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Edgee
AI gateway with token compression for Claude Code, Codex, and more
Edgee is an edge-native execution platform designed to run AI-driven logic and data processing directly at the network edge, reducing latency and improving responsiveness for modern applications. It enables developers to deploy functions and workflows closer to users, allowing real-time processing without relying heavily on centralized cloud infrastructure. -
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Delaunator
Fast JavaScript library for Delaunay triangulation of 2D points
...It’s less convenient than other representations but is the reason the library is fast. After constructing a delaunay = Delaunator.from(points) object, it will have a triangles array and a halfedges array, both indexed by half-edge id. What’s a half-edge? A triangle edge may be shared with another triangle. Instead of thinking about each edge A↔︎B, we will use two half-edges A→B and B→A. Having two half-edges is the key to everything this library provides. It will also be useful to have some helper functions to go from one half-edge to the next and previous half-edges in the same triangle. ... -
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Supabase CLI
Supabase CLI. Manage postgres migrations, run Supabase locally
...It streamlines local development, database migrations, environment management, and project deployment. Designed for developers building with Supabase, the CLI provides an efficient way to work with the entire Supabase stack—PostgreSQL, auth, storage, and edge functions—directly from the terminal. -
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Vercel Storage
Vercel Postgres, KV, Blob, and Edge Config
...It simplifies reading, writing, and managing data in serverless applications hosted on Vercel. The SDK provides a consistent developer experience with optimized performance for edge functions. -
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uBlock Origin
An efficient blocker for Chromium and Firefox
An efficient blocker add-on for various browsers. Fast, potent, and lean. uBlock Origin is not an "ad blocker", it is a wide-spectrum blocker, which happens to be able to function as a mere "ad blocker". The default behavior of uBlock Origin, when newly installed, is to block ads, trackers and malware sites through EasyList, EasyPrivacy, Peter Lowe’s ad/tracking/malware servers, Online Malicious URL Blocklist, and uBlock Origin's own filter lists. uBlock Origin (or uBlock₀) is not an ad... -
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Model Explorer
A modern model graph visualizer and debugger
Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments. -
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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. ... -
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LiteRT-LM
LiteRT-LM is Google's production-ready inference framework
...LiteRT-LM is especially relevant for developers building private, low-latency AI features on phones, laptops, Raspberry Pi-style devices, and other edge hardware. Its goal is to make modern language models usable in local applications with a consistent deployment stack.
