Search Results for "embedded"
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Showing 29 open source projects for "embedded"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter. -
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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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MNN
MNN is a blazing fast, lightweight deep learning framework
...At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity distribution, security risk control. In addition, MNN is also used on embedded devices, such as IoT. MNN Workbench could be downloaded from MNN's homepage, which provides pretrained models, visualized training tools, and one-click deployment of models to devices. Android platform, core so size is about 400KB, OpenCL so is about 400KB, Vulkan so is about 400KB. Supports hybrid computing on multiple devices. ... -
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DeepDetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch
...Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
...The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning inference workloads on a wide range of computer hardware, including small embedded x86 CPUs, APUs, discrete GPUs, and heterogeneous servers. AMD OpenVX is a highly optimized open-source implementation of the Khronos OpenVX™ 1.3 computer vision specification. It allows for rapid prototyping as well as fast execution on a wide range of computer hardware, including small embedded x86 CPUs and large workstation discrete GPUs. -
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LiteRT
LiteRT is the new name for TensorFlow Lite (TFLite)
LiteRT is an experimental, real-time inference runtime built by Google AI Edge to run lightweight ML models on edge devices with ultra-low latency. It focuses on delivering predictable and consistent performance for models used in time-critical applications like robotics, AR/VR, and IoT. LiteRT is designed to be hardware-agnostic, with minimal dependencies and tight control over execution scheduling. -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
...With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. With new NVIDIA Ampere Architecture GPUs, TensorRT also leverages sparse tensor cores providing an additional performance boost. -
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dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is about 1 to 4. The library is tested regularly on MS Windows, Linux, and Mac OS X systems. ... -
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Piper TTS
A fast, local neural text to speech system
...It utilizes ONNX models trained with VITS to deliver natural-sounding voices across various languages and accents. Piper is particularly suited for offline voice assistants and embedded systems. -
Smart Business Texting that Generates PipelineTextUs is the leading text messaging service provider for businesses that want to engage in real-time conversations with customers, leads, employees and candidates. Text messaging is one of the most engaging ways to communicate with customers, candidates, employees and leads. 1:1, two-way messaging encourages response and engagement. Text messages help teams get 10x the response rate over phone and email. Business text messaging has become a more viable form of communication than traditional mediums. The TextUs user experience is intentionally designed to resemble the familiar SMS inbox, allowing users to easily manage contacts, conversations, and campaigns. Work right from your desktop with the TextUs web app or use the Chrome extension alongside your ATS or CRM. Leverage the mobile app for on-the-go sending and responding.
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PLEXIL (plan execution software)
Plan execution language and executive
NOTE: Since 2022 this hosting of PLEXIL is deprecated. PLEXIL has moved to GitHub at https://github.com/plexil-group/plexil. Documentation is found at https://plexil-group.github.io/plexil_docs. Please use these new locations. PLEXIL is a plan execution language and technology developed by NASA and used in automation and autonomy applications at NASA and in the public sector. This software includes compilers for the language, the executive (runtime environment), and related tools.... -
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TensorRT Pro
C++ library based on tensorrt integration
...And serialization and deserialization have been encapsulated for easier usage. Simplify the compilation of fp32, fp16 and int8 for facilitating the deployment with C++/Python in server or embedded device. Models ready for use also with examples are RetinaFace, Scrfd, YoloV5, YoloX, Arcface, AlphaPose, CenterNet and DeepSORT(C++). -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. -
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XiangQi Wizard (Chinese Chess Wizard) is a powerful XiangQi (chinese chess) program, which supports UCCI engines. XQWizard Light is the Mobile version for Windows CE and Java ME. ElephantEye is the UCCI engine in XQWizard with strong AI.
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perkun2
experimental AI language for multiple agents
An experimental AI language. Attempts to maximize the expected value of the payoff function by appropriate choosing the actions (output variables values). It supports multiple agents performing the actions interchangeably. This project does not work properly. I leave it here only for reference. -
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UnrealCV
Connecting Computer Vision to Unreal Engine
UnrealCV is a project to help computer vision researchers build virtual worlds using Unreal Engine (UE). It extends UE with a plugin. UnrealCV can be used in two ways. The first one is using a compiled game binary with UnrealCV embedded. This is as simple as running a game, no knowledge of Unreal Engine is required. The second is installing the UnrealCV plugin into Unreal Engine and using the editor to build a new virtual world. -
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tiny-dnn
header only, dependency-free deep learning framework in C++14
tiny-dnn is a C++14 implementation of deep learning. It is suitable for deep learning on limited computational resources, embedded systems, and IoT devices. -
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EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.
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EasyCP
The easiest C++ way to deal with constraints !
EasyCP is a modern, user-friendly C++ library that lets you use constraint programming in a very natural way, taking advantage of its expressive power. Just model and let the CSP (Constraint Satisfaction Problem) solver do the job ! -
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Linux for Beagleboard-xm
A Tailored Small Linux for Beagleboard-xm
Beagleboard-xm is a powerful chip with a cortex-A8 CPU and a DSP. I have the plan to build an OCR gadget using it with Linux. As a by product I will post my tailored Linux kernel and u-boot, and all relevant stuff here, from now on. I was shocked by the blocking of Chinese citizens from accessing some of the contents on sourceforge. I deeply regret the outrageous action initiated, even though I fully understand the reasoning behind it. -
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A library analog to those included in Matlab without the need of external libraries; just right for embedded or static linking. MTL was used to build a 3d Scanner. MTL consists of pars B - Basic Functions, Matrices, Images, Hypermodels (3d Models and up) N - Numeric Functions ranging from linear regression over nonlinear optimization to singular-value computation I - Image filters and Image enhancement H - Hardware related (optional part), does require additional libraries and is only useful on certain hosts. ...
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PlexBench is a cross-platform, web-enabled, analysis tool that is driven by a scalable backpropagation feed-forward neural network. It uses embedded Perl for scripting and is written in the style of an in-process Component Object Model (COM) C++ program.
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A Trial Workbench for Facilitating Best Practices from Prospective to Acute Care in Respiratory Medicine. We aim to provide a set of information management toolboxes that facilitates decision support applications in medical information systems.
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Mito-MAS-m is a simulator of the mitochondrial inner membrane and the enzymatic complexes embedded in it, implementing a coarse-grained (CG) model of the molecules using rigid structures and Dissipative Particules Dynamics (DPD) as motion equation.
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A toolkit for processing and visualising sensor data in real time with support for use with embedded platforms.
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A machine translation program designed to accept verbal or text input and provide text or speech synthesized voice translation as output. Makes use of 3 current open-source projects. The source is currently C/C++ and embedded perl.
