Search Results for "learning" - Page 23
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Showing 1132 open source projects for "learning"
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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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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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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. -
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starboard-notebook
In-browser literate notebooks
...Starboard notebooks support multiple languages, and the tooling emphasizes portability, making notebooks viewable and executable even on mobile devices or static sites. Because the runtime runs entirely inside the browser, it removes installation barriers and provides a sandboxed environment for exploration, learning, and sharing. The project plays into a larger ecosystem of in-browser computation and literate programming tools, helping users publish interactive content on the web with minimal setup. -
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http-server
A simple zero-configuration command-line http server
http-server is a simple, zero-configuration command-line static HTTP server. It is powerful enough for production usage, but it's simple and hackable enough to be used for testing, local development and learning. You will be prompted with a few questions after entering the command. Use 127.0.0.1 as value for Common name if you want to be able to install the certificate in your OS's root certificate store or browser so that it is trusted. If you wish to use a passphrase with your private key you can include one in the openssl command via the -passout parameter (using password of foobar) -
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CoolplaySpark
Spark Cool Play: Spark source code analysis, Spark class library, etc.
CoolplaySpark is a learning and practice repository designed to help users understand and work with Apache Spark. It serves as a companion resource for the book 深入理解Spark核心思想与源码分析 (In-Depth Understanding of Spark’s Core Concepts and Source Code Analysis). The project contains annotated examples, explanations, and exercises that guide learners through Spark’s architecture, execution model, and source code internals. -
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OpenPrompt
An Open-Source Framework for Prompt-Learning
Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. OpenPrompt is a library built upon PyTorch and provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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Flashlight library
A C++ standalone library for machine learning
Flashlight is a fast, flexible machine learning library written entirely in C++ by Facebook AI Research and the creators of Torch, TensorFlow, Eigen, and Deep Speech. Native support in C++ and simple extensibility make Flashlight a powerful research framework that's hackable to its core and enables fast iteration on new experimental setups and algorithms with little unopinionated and without sacrificing performance. -
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Faster-Rcnn
This is a pytorch implementation library of faster-rcnn
...The repository includes scripts for training, prediction, evaluation, annotation generation, and model summary inspection. It supports backbone options through pretrained VGG and ResNet weights, making it useful for comparing feature extractors. The project also includes learning rate scheduling through step and cosine methods, optimizer choices between Adam and SGD, adaptive learning rate behavior based on batch size, image cropping, FPS testing, video prediction, and batch prediction. It is a practical reference for users who want a more classical two-stage detector workflow in PyTorch. -
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Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
...It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing in Conformal Prediction under the supervision of its creator, Prof. Vladimir Vovk. Since 2015, I have painstakingly gathered these invaluable resources, and upon completing my PhD (my thesis, "Machine Learning for Probabilistic Prediction," can be found in the "Theses" section), I am thrilled to share my expertise with the global machine learning community. ... -
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RxSwift Chinese Documentation
RxSwift Chinese Documentation
This is an RxSwift Chinese document. Now that reactive programming is becoming more and more popular, we can't stop the craze. This document integrates RxSwift documentation, RxJS documentation, ReactiveX documentation and some of the author's personal opinions. The purpose is to allow everyone to quickly get started with reactive programming. Although this document is mainly about RxSwift , developers using other reactive frameworks can also benefit from it, such as: ReactiveCocoa , RxJava... -
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SpringBoot Labs
A repository covering six columns
SpringBoot-Labs is a comprehensive learning and reference repository created by yudaocode that explores advanced concepts, features, and best practices in Spring Boot development. The project provides an extensive collection of example modules, each demonstrating a specific framework integration or architectural pattern within the Spring ecosystem. Topics include web development, microservices, security, messaging, distributed systems, DevOps deployment, and cloud-native application design. ... -
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DeepLabv3 Plus
Encoder-Decoder with Atrous Separable Convolution
...It provides pretrained weight workflows for MobileNetV2 and Xception backbones and notes that the correct backbone should be selected during training and prediction. The project also supports multi-GPU training, multiple backbones, learning rate schedules with step and cosine options, optimizer selection, and adaptive learning rate behavior based on batch size. It is useful for users who want a stronger semantic segmentation baseline than U-Net for scene-level segmentation tasks. -
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Terminals Are Sexy
A curated list of Terminal frameworks, plugins & resources
This repository is a curated, community-driven collection of tools, tips, themes, and resources that make working in the terminal more productive and enjoyable. It pulls together high-quality links to terminal emulators, shells, prompts, plugins, fonts, color schemes, and command-line utilities, alongside learning materials for sharpening everyday CLI skills. The list favors practical, well-maintained projects and is organized so you can quickly discover alternatives for common tasks (navigation, search, networking, monitoring, text processing, and more). It also points to customization ideas—prompts, themes, and fonts—that help you craft a clear, legible, and pleasant environment. ... -
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LeetCode Python
LeetCode Solutions: A Record of My Problem Solving Journey
This repository is a comprehensive personal journal of LeetCode problem-solving journey. It includes detailed solutions with code, algorithm insights, data structure summaries, Anki flashcards, daily challenge logs, and future planning sections. -
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Stitches
CSS-in-JS with near-zero runtime, SSR, multi-variant support
...Stitches avoids unnecessary prop interpolations at runtime, making it more performant than other styling libraries. Packed full of useful features like theming, smart tokens, css prop, as prop, utils, and a fully-typed API. Stitches has a fully-typed API, to minimize the learning curve, and provide the best possible developer experience. Stitches has a dedicated React lib, but @stitches/core works with any framework including Vue, Svelte, and even vanilla HTML. Variants are first-class citizens of Stitches. With multiple variants, compound variants, and default variants, you can design composable component APIs which are typed automatically. ... -
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GoDS
Implementation of various data structures and algorithms in Go
GoDS, which means "Go Data Structures", is an implementation of various data structures and algorithms in Go. It provides a wide variety of containers (Sets, Lists, Stacks, Maps, Trees), sets (HashSet, TreeSet, LinkedHashSet), lists (ArrayList, SinglyLinkedList, DoublyLinkedList), stacks (LinkedListStack, ArrayStack), maps (HashMap, TreeMap, HashBidiMap, TreeBidiMap, LinkedHashMap), trees (RedBlackTree, AVLTree, BTree, BinaryHeap), comparators, and iterators. Containers are either ordered or... -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
...It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases, such as landmark detection and mobile photo analysis with label and face detection, so developers can see how Vision API outputs are consumed in real interfaces and workflows. Although the repository has been marked as deprecated in favor of language-specific repositories for new work, it still serves as a broad reference hub for legacy examples and multi-language implementation patterns. -
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LeetCode
LeetCode Problems' Solutions
...It is useful for comparing approaches, reviewing solution patterns, and studying how common interview problems can be implemented in code. Because it is a solution archive, it is best used as a learning companion after attempting problems independently. Its main value is providing a broad, accessible reference set for developers preparing for coding interviews. -
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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. -
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Open Source iOS Apps
Collaborative List of Open-Source iOS Apps
A community-maintained directory of real-world, open-source iOS applications. It showcases a variety of apps (mostly written in Swift or Objective-C) covering utilities, UI examples, games, and more—as a learning reference or starting point for iOS developers. Help analyse individuals’ travel and trace their movements when cases of infection arise. Helps developers learn architecture patterns like MVVM, Combine, and SwiftUI. Regularly updated with projects reflecting current iOS development trends. -
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Deep Daze
Simple command line tool for text to image generation
Simple command-line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). In true deep learning fashion, more layers will yield better results. Default is at 16, but can be increased to 32 depending on your resources. Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and optionally the number of initial training steps. ... -
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go-fundamental-programming
Set of video and voice tutorials for the Go language
go-fundamental-programming is the code and notes repository for the Chinese video course, a foundational Go programming tutorial aimed at beginners. The author positions it explicitly as a way to share the knowledge and pitfalls accumulated while learning Go, so that new learners can avoid common mistakes and weird corner cases. The course is delivered as a series of lectures, and each lecture has a dedicated lectureX.md file that serves as classroom notes, listing the knowledge points covered and the timestamp at which each segment starts. This structure allows students to quickly jump to specific topics in the video without scrubbing blindly through the timeline. ... -
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CodeIgniter
Open Source PHP Framework (originally from EllisLab)
...Because it doesn’t force heavy conventions, CodeIgniter is flexible for both small projects and larger modular applications where you may want to craft your own architecture. Its documentation and clarity of code make the learning curve gentle for PHP newcomers. In production, CodeIgniter’s efficiency and minimal overhead make it a steady option when performance and stability are priorities. -
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OpenCV-MinGW-Build
MinGW 32bit and 64bit version of OpenCV
OpenCV-MinGW-Build is a toolkit and set of build scripts that make it easier to compile OpenCV with the MinGW (Minimalist GNU for Windows) toolchain on Windows platforms. OpenCV itself is a widely used open-source computer vision and machine learning library, but building it on Windows with MinGW can be tricky due to compiler and dependency mismatches, configuration quirks, and platform differences. This repository packages automation, patched CMake configs, and step-by-step instructions so you can generate OpenCV binaries that work with MinGW GCC rather than being tied to MSVC (Microsoft Visual C++). ... -
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go-algorithms
Algorithms and data structures for golang
go-algorithms is an open-source educational repository that provides implementations of common algorithms and data structures written in the Go programming language. The project is designed primarily as a learning resource to help developers understand how fundamental computer science concepts can be implemented idiomatically in Go. It includes a wide range of classic sorting, searching, and numerical algorithms alongside basic collection structures such as stacks, queues, linked lists, and binary trees. The repository is organized into clear directories by topic, making it easy for learners to explore specific categories of algorithms. ...