Search Results for "learn" - Page 28
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Showing 1944 open source projects for "learn"
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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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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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LayoutParser
A Unified Toolkit for Deep Learning Based Document Image Analysis
...This method is also more robust and generalizable as no sophisticated rules are involved in this process. A complete instruction for installing the main Layout Parser library and auxiliary components. Learn how to load DL Layout models and use them for layout detection. The full list of layout models currently available in Layout Parser. After several major updates, layoutparser provides various functionalities and deep learning models from different backends. But it still easy to install layoutparser, and we designed the installation method in a way such that you can choose to install only the needed dependencies for your project. ... -
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PyTorch Handbook
The pytorch handbook is an open source book
PyTorch Handbook is an open-source educational project designed to help developers and researchers quickly learn deep learning using the PyTorch framework. The repository functions as an online handbook that explains how to build, train, and evaluate neural network models using PyTorch. It includes tutorials and examples that demonstrate common deep learning tasks such as image classification, neural network design, model training workflows, and evaluation techniques. -
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CodeIgniter
Open Source PHP Framework (originally from EllisLab)
CodeIgniter is a lightweight PHP web framework that focuses on simplicity, performance, and minimal configuration to get started quickly. It adopts an MVC-style or loosely structured approach depending on developer preference, with core components for routing, input handling, output views, and database abstraction. The framework provides convenience libraries for sessions, form validation, encryption, email, file uploads, and more, all optional so the footprint stays small. Because it... -
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Microsoft OpenPAI FrameworkController
General-Purpose Kubernetes Pod Controller
...In the open source community, there are so many specialized Kubernetes Pod controllers which are built for a specific kind of application, such as Kubernetes StatefulSet Controller, Kubernetes Job Controller, KubeFlow TensorFlow Operator, KubeFlow PyTorch Operator. However, no one is built for all kinds of applications and combination of the existing ones still cannot support some kinds of applications. So, we have to learn, use, develop, deploy and maintain so many Pod controllers. Partitioned to different heterogeneous TaskRoles which share the same lifecycle. Ordered in the same homogeneous TaskRole by TaskIndex. With consistent identity {FrameworkName}-{TaskRoleName}-{TaskIndex} as PodName. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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YOLOv3
Object detection architectures and models pretrained on the COCO data
Fast, precise and easy to train, YOLOv5 has a long and successful history of real time object detection. Treat YOLOv5 as a university where you'll feed your model information for it to learn from and grow into one integrated tool. You can get started with less than 6 lines of code. with YOLOv5 and its Pytorch implementation. Have a go using our API by uploading your own image and watch as YOLOv5 identifies objects using our pretrained models. Start training your model without being an expert. Students love YOLOv5 for its simplicity and there are many quickstart examples for you to get started within seconds. ... -
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Octant
Highly extensible platform for developers
...Add information to your cluster views through Octant’s plug-in system. Support a variety of debugging features such as filtering labels and streaming container logs to be part of the Kubernetes development toolkit. Learn about why Octant was created and how it aims to improve upon past attempts to create a Kubernetes dashboard. Debug applications running on a cluster in a local environment by creating port forwards through an intuitive interface. With a complete view of an object and all its related objects, you can more accurately assess the status of applications and avoid unfocused debugging when things go wrong. -
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Complete Intro to React v6
learn React.js with Brian Holt
Complete Intro to React v6 is the course website and lesson repository for Brian Holt’s Frontend Masters React curriculum. It guides learners from plain React rendering through JSX, components, user input, hooks, effects, and custom hooks. The course then adds composition, routing, class state, error boundaries, context, portals, and refs. Intermediate sections examine Redux, code splitting, server-side rendering, Tailwind CSS, testing, and TypeScript migration. A separate companion... -
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FACIL.IO
Your high performance web application C framework
...In addition to detailed documentation and examples, the API is unified in style and the same types and API used for HTTP requests is used for JSON and Mustache rendering - so there's less to learn. facil.io should work on Linux / BSD / macOS (and possibly CYGWIN) and is continuously tested on both Linux and macOS. -
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lightning library
Large-scale linear classification, regression and ranking in Python
lightning is a library for large-scale linear classification, regression and ranking in Python. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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IoT Technical Guide
IoT Technical Guide - Building a High-Performance IoT Platform
...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. It is intended for developers who want to learn how real IoT platforms organize devices, messages, protocols, and backend services. The repository is especially useful as a structured study path for readers preparing to build or customize an IoT platform. It functions more as a technical tutorial and roadmap than as a single installable software package. -
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nitrokey-fido2-firmware
FIDO2 USB token optimized for security, extensibility, and style
...The main implementation is for STM32L432, but it is easily portable. For development no hardware is needed, it also runs as a standalone application for Windows, Linux, and Mac OSX. If you like (or want to learn) hardware instead, you can run the firmware on the NUCLEO-L432KC development board. -
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Kubesploit
Kubesploit is a cross-platform post-exploitation HTTP/2 Command
...When running an exploit, it will practice the organization's cyber event management, which doesn't happen when scanning for cluster issues. It can help the organization learn how to operate when real attacks happen, see if its other detection system works as expected and what changes should be made. -
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Deep Learning Papers Reading Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn
Deep Learning Papers Reading Roadmap is a widely known curated reading plan for deep learning that helps newcomers and practitioners navigate the vast literature in a structured and intentional way. It is built around several guiding principles: moving from outline to detail, from older foundational papers to state-of-the-art work, and from generic to more specialized areas while keeping a focus on impactful contributions. The roadmap organizes papers into categories such as fundamentals,... -
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scikit-learn tips
50 scikit-learn tips
scikit-learn-tips is an educational repository that collects practical advice and best practices for using the scikit-learn machine learning library effectively. The project consists of short explanations and examples that highlight common patterns, pitfalls, and techniques used when building machine learning workflows in Python. Each tip typically demonstrates how specific components of scikit-learn, such as pipelines, preprocessing utilities, or model evaluation tools, should be applied in real projects. ... -
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CodeSearchNet
Datasets, tools, and benchmarks for representation learning of code
...The dataset contains millions of pairs of source code functions and corresponding documentation comments extracted from open-source repositories. These pairs allow machine learning models to learn relationships between natural language descriptions and programming code. The dataset currently covers several widely used programming languages, including Python, JavaScript, Ruby, Go, Java, and PHP. In addition to the dataset itself, the repository includes baseline models, evaluation tools, and instructions for building code retrieval systems that can map user queries to relevant code snippets. -
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English Grammar Notes
Learn English grammar from 0
English Grammar Notes is a community-driven learning resource project aimed at helping learners master English grammar from the ground up through clear explanations, practice examples, and progressive note structure that breaks down complex rules into accessible segments. The repository combines educational content written in simplified English and Chinese alongside structured markdown pages that cover parts of speech, sentence structure, tenses, clauses, and other core grammar topics,... -
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Arduino
Open-source electronics platform
Arduino is an open-source physical computing platform based on a simple I/O board and a development environment that implements the Processing/Wiring language. Arduino can be used to develop stand-alone interactive objects or can be connected to software on your computer (e.g. Flash, Processing and MaxMSP). The boards can be assembled by hand or purchased preassembled. Arduino is a popular tool for IoT product development as well as one of the most successful tools for STEM/STEAM education.... -
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90DaysOfDevOps
The journey towards a better foundational knowledge of DevOps
...What is and why do we use DevOps. Learning a Programming Language. Knowing Linux Basics. Understand Networking. Stick to one Cloud Provider. Use Git Effectively. Automate Configuration Management. Learn Infrastructure as Code. And much more! -
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DeepDanbooru
AI based multi-label girl image classification system
...These tags may include characters, styles, clothing, emotions, or other attributes associated with anime artwork. The system uses convolutional neural networks trained on large datasets of tagged images to learn relationships between visual features and textual labels. Because the Danbooru dataset contains millions of images with extensive annotations, it provides a valuable training resource for machine learning models specializing in illustration analysis. Such datasets have been widely used for tasks including automatic image tagging, anime face detection, and generative modeling research. -
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Raiden Network
Raiden Network
Use Raiden to enrich your dApp with nearly instant, low-fee and scalable payments. It comes with an easy-to-use API and is compatible with the Ethereum ERC20 token standard. Incentivized, decentralized P2P live streaming with micropayments using Raiden, introducing “Proof-of-Stream-Payment”. The Raiden Network is an infrastructure layer on top of the Ethereum Blockchain. While the basic idea is simple, the underlying protocol is quite complex and the implementation non-trivial. Nonetheless... -
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CDN Up and Running
CDN Up and Running - Building a CDN from Scratch to Learn about CDN
CDN Up and Running is an educational project that demonstrates how content delivery networks work by guiding users through building one from scratch using real-world tools and infrastructure components. The repository combines theoretical explanations with hands-on implementation, allowing developers to understand both the concepts and practical challenges of CDN design. It starts with a simple backend service and progressively evolves into a distributed, multi-node system capable of... -
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AI Platform Training and Prediction
Cloud ML Engine repo
AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions. The repository covers the full machine learning lifecycle, including data preprocessing, model training, hyperparameter tuning, evaluation, and prediction serving. It also demonstrates how to scale from local training to distributed cloud-based training without major code changes, making it a valuable resource for transitioning workloads to production environments. ... -
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node-elm
Backend system based on node.js + Mongodb
...It typically includes authentication flows, input validation, and error handling that mirror production patterns. Data seeding or mock datasets provide a stable playground for front-end integration and end-to-end testing. As a teaching tool, it helps developers learn how front-end and back-end contracts evolve together and how to design APIs that are both pragmatic and maintainable. -
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ddarch
Linux helper tool to easily create, preserve and restore disk images
...Restoring an image to a device of a different size may also require appropriate modifications to the image (partition resizing, trimming) or the device itself after the restore (enlarging the last partition). This tool was created to make these steps a little easier. See https://github.com/chodak166/ddarch to learn more. -
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Scikit-Optimize
Sequential model-based optimization with a `scipy.optimize` interface
...It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts. The library is built on top of NumPy, SciPy and Scikit-Learn.