Search Results for "learning"
Sort By:
Showing 31 open source projects for "learning"
View related business solutions-
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.
-
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
1
DALI
A GPU-accelerated library containing highly optimized building blocks
The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding, cropping, resizing, and many other augmentations. ... -
2
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. -
3
Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. -
4
EpicReact.Dev
Build a ReactJS App workshop
...The project demonstrates how to structure a modern React app, including data modeling, authentication, routing, testing, and interaction with a backend. It uses a realistic “bookshelf” domain where users can manage lists of books, track reading status, and record notes, which provides a concrete context for learning. The repository includes setup scripts and system requirements checks for Git, Node, and npm, plus Docker and Codespaces options for people who struggle with local environments. A guided workflow, driven by a node go script and INSTRUCTIONS.md, lets learners move between exercises and extra credit steps while the repository updates the working files for each stage. ... -
Earn up to 16% annual interest with Nexo.Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
5
PPT Builder Skill
AI-friendly PPT builder skill: 17 hand-polished Chinese PPTX templates
...For original presentations, it guides agents toward clean layouts with simple typography, generous spacing, and restrained visual elements. The project is intended for personal learning and research use, not commercial use. -
6
Knockout
Tool to create rich, responsive UIs with JavaScript
...Implicitly set up chains of relationships between model data, to transform and combine it. Quickly generate sophisticated, nested UIs as a function of your model data. Get started with knockout.js quickly, learning to build single-page applications, custom bindings and more with interactive tutorials. Knockout is a JavaScript MVVM (a modern variant of MVC) library that makes it easier to create rich, desktop-like user interfaces with JavaScript and HTML. It uses observers to make your UI automatically stay in sync with an underlying data model, along with a powerful and extensible set of declarative bindings to enable productive development. ... -
7
Ruby 2D
The Ruby 2D gem
...Built atop SDL2 and OpenGL, Ruby2D abstracts away the complexity of low-level graphics programming while exposing enough control for performance and flexibility. It supports images, text, sounds, and basic geometric shapes, making it ideal for learning graphics or quickly prototyping ideas with Ruby. The library is cross-platform and lightweight, staying true to Ruby’s principle of developer happiness. -
8
Uno Platform
Build Mobile, Desktop and WebAssembly apps
...Free and paid support is available by both community and our team. Chats, tickets or even screen sharing! Seeing is believing. Learn by doing. See code samples our engineers put out for fun, learning and reuse. Explore the possibilities Uno Platform opens. -
9
SuperAgent
Ajax for Node.js and browsers (JS HTTP client)
SuperAgent is light-weight progressive ajax API crafted for flexibility, readability, and a low learning curve after being frustrated with many of the existing request APIs. It also works with Node.js! Small progressive client-side HTTP request library, and Node.js module with the same API, supporting many high-level HTTP client features. Browser-ready versions of this module are available via jsdelivr, unpkg, and also in the node_modules/superagent/dist folder in downloads of the superagent package. ... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
10
POCO
Cross-platform C++ libraries for building network applications
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++... -
11
AWS .NET deployment tool
The tooling that simplifies deployment of .NET applications
AWS Deploy Tool is an interactive tooling for the .NET CLI and the AWS Toolkit for Visual Studio that helps deploy .NET applications with minimum AWS knowledge, and with the fewest clicks or commands. It works by analyzing .NET projects and guiding developers to the right AWS service. It then selects the right deployment service, builds and packages your application, and creates the deployment infrastructure. It allows for a quick and easy Proof of concept (POC), smooth graduation to CI/CD,... -
12
vue2-elm
Large single page application with 45 pages built on vue2 + vuex
...It places strong emphasis on responsive UI, transitions, and user feedback patterns that feel app-like on mobile devices. Developers can study API consumption patterns and mock data handling to simulate real production constraints. As a learning resource, it gives a practical playground for debugging, performance considerations, and code readability in a real-world scale example -
13
Luigi
Python module that helps you build complex pipelines of batch jobs
...You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else. You can build pretty much any task you want, but Luigi also comes with a toolbox of several common task templates that you use. It includes support for running Python mapreduce jobs in Hadoop, as well as Hive, and Pig, jobs. It also comes with file system abstractions for HDFS, and local files that ensures all file system operations are atomic. -
14
Flaskr
Intro to Flask, Test-Driven Development (TDD), and JavaScript
...JavaScript is incorporated to extend the original tutorial beyond a purely server-rendered example. Deployment material helps connect local development with running the application in a real environment. The repository is intended as a guided learning project for developers new to Flask, testing, or web application development. -
15
FlubuCore
A cross platform build and deployment automation system
"FlubuCore - Fluent Builder Core" is a cross-platform build and deployment automation system. You can define your build and deployment scripts in C# using an intuitive fluent interface. This gives you code completion, IntelliSense, debugging, FlubuCore custom analyzers, and native access to the whole .NET ecosystem inside of your scripts. FlubuCore offers a .net (core) console application that uses power of roslyn to compile and execute scripts. Intuitive and easy to learn. C#, fluent... -
16
SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
...The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. -
17
pyTorch Tutorials
Build your neural network easy and fast
...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
18
Create React App
Set up a modern web app by running one command
Create React App lets you create React apps quickly and easily-- no learning of build tools or build configurations necessary. All you need is one command, and you can get started in seconds. All tools are preconfigured and hidden, and with instant reloads you can focus on code, not build tools. With Create React App your apps need only one build dependency, so everything works together seamlessly, and when it’s time to deploy your bundles are automatically optimized. -
19
AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. ... -
20
useful-custom-react-hooks
This project was bootstrapped with Create React App
useful-custom-react-hooks is a React learning project that demonstrates a broad collection of reusable custom hooks. It is built as a Create React App project and organizes each hook into its own component example. The repository covers common UI, browser, state, timing, storage, network, and interaction patterns that React developers often rebuild across projects. It includes hooks for toggling state, debouncing values, tracking previous values, managing arrays, storing data, fetching resources, loading scripts, and reacting to browser events. ... -
21
rax
A progressive React framework for building universal application
...The Rax 1.0 system provides a wealth of components and APIs to help business students quickly develop multi-terminal projects. Go Rax is a Rax 1.0 sample app, which is provided for Rax developers for reference and learning. Rax improves the product experience through a lighter core, progressive web applications, and server-side rendering. The out-of-the-box engineering, rich components and surrounding ecology, and one-time development and multi-end delivery help the developer complete his creativity. At the same time, we are also continuing to explore in the field of artificial intelligence, and continue to reduce development thresholds and costs. -
22
weekly-projects
Build a project every week to improve your coding skills
...Each weekly challenge includes a description, a set of user stories (tasks), and the necessary resources. After finishing, contributors can open a pull request with their own solution and demo link, so this becomes both a learning tool and a showcase platform. It’s great for those who want paced practice rather than open-ended ideas. The challenge list includes things like a Pokédex app, COVID tracker, movie app, quiz, daily planner, full-stack app, etc. The curated weekly cadence helps maintain consistency and momentum. And although lightweight, the public nature of submissions gives social accountability and visibility. -
23
Laravel Mix
The power of webpack, distilled for the rest of us
...Webpack is an incredibly powerful module bundler that prepares your JavaScript and assets for the browser. The only understandable downside is that it requires a bit of a learning curve. In an effort to flatten that curve, Mix is a thin layer on top of webpack for the rest of us. It exposes a simple, fluent API for dynamically constructing your webpack configuration. Mix targets the 80% usecase. If, for example, you only care about compiling modern JavaScript and triggering a CSS preprocessor, Mix should be right up your alley. ... -
24
X11workbench
X11 developer's 'workbench' and lightweight toolkit API
(preliminary) X11 developer's 'workbench' application using a lightweight statically linked custom toolkit that is intended to be used by X11 applications built with the X11 Workbench. The primary goal of the toolkit is ease of use (short learning curve), lightweight self-contained executables, UI speed, cross platform compatibility, and minimal dependencies. The primary goal of the workbench is to provide an editor on X11 platforms that integrates development, provides rapid development tools (like 'wizards' and safe X11 debugging), and allows you to move the cursor past the end of a line without creating 'end of line' whitespace or 'bouncing' the cursor horizontally while scrolling vertically. ... -
25
Didact
A DIY guide to build your own React
Didact is an educational JavaScript project that teaches developers how to build a small React-like library from scratch. It accompanies a series of explanatory posts that break down React concepts step by step. The project covers rendering DOM elements, element creation, JSX, virtual DOM behavior, reconciliation, components, state, Fiber-style incremental reconciliation, and hooks. Its goal is not to replace React, but to make React’s internal ideas easier to understand through a compact...
