Search Results for "learning" - Page 3
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Showing 146 open source projects for "learning"
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CLIP-as-service
Embed images and sentences into fixed-length vectors
...Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks. Horizontally scale up and down multiple CLIP models on single GPU, with automatic load balancing. Easy-to-use. No learning curve, minimalist design on client and server. Intuitive and consistent API for image and sentence embedding. Async client support. Easily switch between gRPC, HTTP, WebSocket protocols with TLS and compression. Smooth integration with neural search ecosystem including Jina and DocArray. Build cross-modal and multi-modal solutions in no time. -
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z
Tracks your most used directories, based on 'frecency'
Tracks your most used directories, based on 'frecency'. After a short learning phase, z will take you to the most 'frecent directory that matches ALL of the regexes given on the command line, in order. For example, z foo bar would match /foo/bar but not /bar/foo. The rank of directories maintained by z undergoes aging based on a simple formula. The rank of each entry is incremented every time it is accessed. -
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Onix OS
Onix
...It covers kernel essentials such as interrupts, memory management, and multitasking, and includes a tiny Unix-like shell for user interaction. onix is tailored for x86_64 systems and runs in QEMU, making it ideal for learning OS internals while benefiting from Rust’s type safety and concurrency guarantees. It’s a great project for students or Rustaceans interested in systems programming. -
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ParamOS
A Cosmos-based Operating System (Developed for Learning Purpose)
ParamOS is a basic operating system made using Cosmos OS Kit in Visual Studio (C#/.NET). The command line OS has five commands: ‘namaste’ for greetings, ‘about’ to learn more about ParamOS, 'gui' to load the Graphical User Interface (GUI), ‘restart’ to reboot the OS and ‘shutdown’ to shut down the computer. -
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JPL Open Source Rover Project
A build-it-yourself, 6-wheel rover based on the rovers on Mars
The JPL Open Source Rover is an open source, build it yourself, scaled down version of the 6 wheel rover design that JPL uses to explore the surface of Mars. The Open Source Rover is designed almost entirely out of consumer off the shelf (COTS) parts. This project is intended to be a teaching and learning experience for those who want to get involved in mechanical engineering, software, electronics, or robotics. JPL is always looking to inspire the next generation of scientists, engineers, and roboticists to help us explore and learn about our solar system (and beyond!). We release the plans for this rover as a way to try and give budding enthusiasts a fun robotics project that will help teach them and get them involved in robotics sooner and at a lower cost. ... -
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NuPIC
Numenta platform for intelligent computing
The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. ... -
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
...Spektral implements some of the most popular layers for graph deep learning. Spektral also includes lots of utilities for representing, manipulating, and transforming graphs in your graph deep learning projects. Spektral is compatible with Python 3.6 and above, and is tested on the latest versions of Ubuntu, MacOS, and Windows. Other Linux distros should work as well. The 1.0 release of Spektral is an important milestone for the library and brings many new features and improvements. -
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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. -
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Felix OS
Experimental operating system written in Rust
...Built from the ground up with Rust’s strong safety guarantees, felix aims to strike a balance between low-level hardware access and modern software practices. It runs on x86_64 platforms via QEMU and includes a basic shell and ELF binary loader, making it an excellent resource for learning OS fundamentals. -
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MOOS
C# x64 operating system programming with the .NET native
...Written in Rust, MOOS provides a safe and modern platform to explore low-level system design, with a minimal but functional kernel that supports multitasking, a virtual memory manager, and a tiny standard library. It targets x86_64 and runs on QEMU, making it suitable for students and developers learning about OS fundamentals or testing novel ideas in kernel development. -
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SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
...Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc. -
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Dragora GNU/Linux-Libre
An independent GNU/Linux-Libre distribution
...Dragora is founded on the concepts of simplicity and elegance, it can be run for almost any purpose (desktop, workstation, server, development, etc.). The intended audience are people interested in learning more about a GNU/Linux distribution, or simply people who are looking for quality. -
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KubeOperator
An open source, lightweight Kubernetes distribution
...Support online environment and offline environment deployment. Provides a visual web UI. Supports cluster planning, deployment and operations. Easily run workloads like machine learning, high-performance computing, and more. Quickly deploy and manage applications in K8S. Only two steps to complete the KubeOperator installation and deployment. -
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crunch++ Debian
LightWeight Debian OS
...In this there is not Dock so you need to Install any dock software, I will prefer plank dock. username - hemant password - <spacebar> one time this os can be used for experiment purpose, and learning purpose. after installing vm just write this command for first time, to update and upgrade the system, it is welcome process, it's *OPTIONAL* `/usr/bin/cbpp-welcome` -
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System Programming Roadmap
A roadmap to teach myself compiler dev, malware reverse engineering
...It aggregates high-quality tutorials, books, project ideas, and documentation links related to topics such as operating systems, file systems, kernel development, networking, and compilers. This repository is ideal for beginners looking to structure their learning or for experienced developers seeking to expand their knowledge in a structured and progressive manner. -
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GPCS4
A work-in-progress PlayStation 4 emulator
A PlayStation 4 emulator which was just started. A project done for fun, and for technical research. The only reason I have started this project is for learning 3D graphics. It's not intended to become a serious application. Support simple compute shader, compute ring, cube maps. For more details you could join our discord server to contact me, or if you are used to Tencent QQ/TIM, just join our group. There you can get more resources which are useful for contributing. To run or develop GPCS4, a CPU supporting AVX instruction set as well as a graphics card supporting Vulkan 1.3 are required. -
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IoT Technical Guide
IoT Technical Guide - Building a High-Performance IoT Platform
IoT Technical Guide is a Chinese-language learning repository for understanding how high-performance Internet of Things platforms are designed and built. It walks readers through the architecture, concepts, and engineering stack behind IoT systems instead of only listing isolated tools. The guide covers topics such as IoT market context, device models, ThingsBoard source-code learning, MQTT broker setup, CoAP services, message peak shaving, data modeling, and database selection. ... -
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...It provides most of the functionality of the Windows software provided by Logitech(R), but is much smaller and cross-platform. This software allows you to update or backup configurations, upgrade firmware, or do IR-learning. NOTE: Development has moved to github: http://www.github.com/jaymzh/concordance
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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. ... -
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Zenoss Community Edition
Zenoss - Intelligent IT Operations Management
Zenoss provides software-defined IT operations for the world’s largest organizations. We deliver the ultimate level of IT service health with simplicity by providing the most granular and intelligent IT service modeling possible, at any scale, and sharing these unique insights with other IT operations management (ITOM) tools to make them more efficient. Zenoss Community Edition is not a “demo” or trial version of Zenoss Enterprise or Zenoss Cloud! Before You install Zenoss Community... -
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elastic-jupyter-operator
Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes
Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text, and multimedia resources in a single document. For data scientists and machine learning engineers, Jupyter has emerged as a de facto standard. At the same time, there has been growing criticism that the way notebooks are being used leads to low resource utilization. GPU and other hardware resources will be bound to the specified notebooks even if the data scientists do not need them currently. This project proposes some Kubernetes CRDs to solve these problems. -
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pranaOS
Smart Operating System for x86, ARM, Mobile, Watch
...It is designed for the x86_64 architecture and features a custom shell, task scheduler, and keyboard driver. With a strong focus on education, pranaOS serves as a base for experimenting with kernel development and learning how different subsystems interact in a functioning OS. -
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node-elm
Backend system based on node.js + Mongodb
node-elm is a Node.js back end that powers the data side of the Ele.me clone ecosystem, complementing the Vue front-end projects. It exposes RESTful endpoints for entities such as restaurants, menus, orders, users, and addresses to simulate a realistic delivery stack. The server demonstrates how to structure a project with routing, controllers, and middleware to keep logic testable and readable. It typically includes authentication flows, input validation, and error handling that mirror... -
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ESP8266 Deauther Version 2
Affordable WiFi hacking platform for testing and learning
Scan for WiFi devices, block selected connections, create dozens of networks and confuse WiFi scanners! Version 3 is in development. It is stable to use, but it is very different. It is command-line based, which allows it to offer not just more features, but make them more customizable. This software allows you to easily perform a variety of actions to test 802.11 wireless networks by using an inexpensive ESP8266 WiFi SoC (System On A Chip). The main feature, the deauthentication attack, is... -
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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. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page.
