Search Results for "e-learning" - Page 18
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Showing 1624 open source projects for "e-learning"
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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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ergo
Framework for creating microservices using technologies of Erlang/OTP
...The goal of this project is to leverage Erlang/OTP experience with Golang performance. The ideal framework for creating complex and distributed solutions (machine learning, data processing pipeline, etc.) being simple and reliable. You don't have to reinvent the wheel. There are ready-to-use implemented design patterns. Two processes can be linked to each other. Termination one terminates another. Any process can monitor the service node. Receives NODE DOWN if node terminated. Ergo Framework almost 5 times outperforms the original Erlang network messaging. ... -
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HelloGitHub
Share interesting, entry-level open source projects on GitHub
HelloGitHub shares interesting, entry-level open source projects on GitHub. It is updated and released in the form of a monthly magazine on the 28th of every month. The content includes interesting, entry-level open-source projects, open-source books, practical projects, enterprise-level projects, etc., so that you can feel the charm of open source in a short time and fall in love with open source! At first, I just wanted to collect interesting, high-quality, and easy-to-use projects that I... -
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PHP Docs Samples
A collection of samples on how to call Google Cloud services
PHP Docs Samples repository is a broad collection of PHP examples that demonstrate how to call and work with Google Cloud services from PHP applications. It is designed as a companion to Google Cloud documentation, giving developers ready-to-run code patterns they can study, adapt, and integrate into their own projects. Rather than focusing on a single product, the repository spans many services and use cases, making it useful for developers who need a central reference point for PHP-based... -
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Google Cloud Platform Go Samples
Sample apps and code written for Google Cloud
Google Cloud Platform Go Samples repository is a comprehensive collection of Go-based code examples that demonstrate how to build applications and services using Google Cloud Platform. It provides developers with practical implementations that cover a wide spectrum of cloud functionalities, including storage, compute, networking, and machine learning services. Each sample is designed to be easily reusable, allowing developers to copy code directly into their own projects as a starting point for development. The repository includes both simple quickstart examples and more advanced application patterns, often accompanied by documentation guides that explain how to deploy and run them in different environments. ... -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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Jupyter Docker Stacks
Ready-to-run Docker images containing Jupyter applications
...These stacks support a range of use cases, from lightweight base notebook images to full featured environments that include scientific computing libraries, machine learning tools, and IDE-like notebook interfaces, all within Docker containers that run consistently across machines. Users can pull a particular stack image and launch a Jupyter server without worrying about installing Python, R, or complex dependencies themselves — everything needed is baked into the container. This makes the stacks especially useful for education, demos, collaborative coding, and CI/CD workflows where consistent environments are crucial, and it integrates smoothly with cloud platforms, JupyterHub deployments, and Binder for interactive sharing. -
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CineCLI
CineCLI is a cross-platform command-line movie browser
...It connects to popular online movie databases to fetch metadata such as titles, release dates, ratings, genres, casts, posters, and plot summaries, presenting all of that in a concise, text-friendly format suitable for terminals or scripts. Users can search by keyword, year, or exact title and then drill into detailed views for individual films, making it useful for creating watchlists, learning more about films before watching, or integrating movie lookup into shell workflows. CineCLI also supports paginated results and filters so users can navigate large search outputs without overwhelming their screens. Because it runs entirely from the command line, it’s ideal for developers, movie enthusiasts in headless environments, or anyone who prefers text-based tools over web browsers. -
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Ansible for DevOps
Ansible for DevOps examples
...Rather than being theoretical, the examples span real-world infrastructure setups: multi-server orchestration, LAMP stacks, Docker deployments, Kubernetes cluster spins, rolling updates, and security hardening. You can clone the repo and play with actual scenarios using Vagrant, VirtualBox, or cloud hosts, making it ideal for both learning and reference in production readiness. The code is structured by chapter/topic, so you can pick a scenario (for example “nodejs deployment” or “ELK stack”) and dive into a fully featured Ansible solution rather than starting from scratch. Because Ansible is popular for provisioning and configuration management, this repository lowers the barrier to experimenting with real infra patterns. -
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Guide to Technical Interviews
Guided collection and roadmap for preparing technical interviews
This repository is a guided collection and roadmap for preparing technical interviews, covering the gamut from algorithmic challenges and data structures to system design and behavioral preparation. It consolidates resources like interview question lists, practice platforms, mock interview sites, and recommended books or blogs. For individuals targeting big-tech or rigorous interview processes, this acts as a structured study guide rather than a random list of links. The README breaks down... -
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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 -
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. ... -
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Flax
Flax is a neural network library for JAX
...Flax emphasizes composability: optimizers, training loops, and checkpointing are provided as examples or utilities rather than monolithic frameworks, encouraging research-friendly customization. The library is widely used in vision, language, and reinforcement learning, often serving as a thin layer atop NumPy-like JAX primitives. Tutorials and examples show patterns for multi-host training, mixed precision, and advanced input pipelines that scale from laptops to TPUs. -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained inspection and modification after training. Its modular design includes tools for tree manipulation, named axes, and declarative neural network construction. ... -
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Multimodal
TorchMultimodal is a PyTorch library
This project, also known as TorchMultimodal, is a PyTorch library for building, training, and experimenting with multimodal, multi-task models at scale. The library provides modular building blocks such as encoders, fusion modules, loss functions, and transformations that support combining modalities (vision, text, audio, etc.) in unified architectures. It includes a collection of ready model classes—like ALBEF, CLIP, BLIP-2, COCA, FLAVA, MDETR, and Omnivore—that serve as reference... -
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Surface
A server-side rendering component library for Phoenix
Surface is a component-based UI library for Phoenix LiveView that brings a declarative, template-driven approach to building interactive interfaces. Inspired by frameworks like React, it introduces components with typed properties, slots, and macros to simplify complex UIs. Developers can create reusable, encapsulated components that integrate seamlessly with LiveView’s server-rendered real-time model. Surface emphasizes readability, making templates feel closer to HTML while retaining... -
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KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
...It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition, event processing, and other high-level applications to the Edge. With business logic running at the Edge, much larger volumes of data can be secured & processed locally where the data is produced. With data processed at the Edge, the responsiveness is increased dramatically and data privacy is protected. -
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nodejs-integration-tests-best-practices
Beyond the basics of Node.js testing
...Its main idea is testing an entire component (e.g., Microservice) as-is, through the API, with all the layers including the database but fake anything extraneous. This brings both high confidence and great developer experience. However, doing it right, fast, exhaustive and maximizing the value demand some learning and skills. This is the mission statement of this repo. Warning: You might fall in love with testing. Detailed instructions on how to write component tests in the RIGHT way including code example and reference to the example application. A Complete showcase of a typical Node.js backend with performant tests setup (50 tests in 4 seconds! ... -
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libfabric
AWS Libfabric
...Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. -
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AWS Toolkit for Visual Studio Code
Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.
...It shows a top-level view of your CDK applications that have been synthesized in your workspace. Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript. -
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Crossbeam
Tools for concurrent programming in Rust
...We also have the RFCs repository for more high-level discussion, which is the place where we brainstorm ideas and propose substantial changes to Crossbeam. If you'd like to learn more about concurrency and non-blocking data structures, there's a list of learning resources in our wiki, which includes relevant blog posts, papers, videos, and other similar projects. The Crossbeam project adheres to the Rust Code of Conduct. This describes the minimum behavior expected from all contributors. -
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Flecs
A fast entity component system (ECS) for C & C++
Flecs is a fast and lightweight Entity Component System that lets you build games and simulations with millions of entities (join the Discord!). Here are some of the framework's highlights. Fast zero dependency C99 API. Modern type-safe C++11 API that doesn't use STL containers. Minimal ECS core with optional addons. Entire codebase builds in less than 5 seconds. Runs in the browser without modifications with emscripten. Cache-friendly archetype/SoA storage that can process millions of... -
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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. ... -
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HyperUI
Free Tailwind CSS v4 components for your next project
HyperUI is a large, copy-and-paste library of Tailwind CSS components aimed at speeding up interface building without adding heavy JavaScript. It groups components by common product needs—navigation, hero sections, pricing, forms, cards, tables, and full e-commerce flows—so teams can assemble pages quickly from consistent building blocks. Each snippet is written as semantic HTML with Tailwind utility classes, making it easy to customize spacing, color, and typography through a project’s Tailwind config. The components are responsive by default, using grid and flex patterns that adapt cleanly from mobile to widescreen layouts. ... -
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DGL
Python package built to ease deep learning on graph
...Scale to giant graphs via multi-GPU acceleration and distributed training infrastructure. DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. We are keen to bringing graphs closer to deep learning researchers. We want to make it easy to implement graph neural networks model family. We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. ... -
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ChromeAppHeroes
Chinese manual for excellent Chrome plug-ins
ChromeAppHeroes appears to be a repository with sample or template Chrome apps/extensions — perhaps intended to help developers learn how to build Chrome applications, quick prototypes, or small utilities. As such, it likely includes boilerplate code, manifest definitions, example UI components, and sample functionality (e.g. browser-action buttons, content scripts, background scripts) to illustrate how to structure a Chrome app. For learners or developers new to Chrome extension/app... -
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guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper
The guide-rpc-framework is a Java implementation of a Remote Procedure Call (RPC) framework built on Netty, Kyro (for serialization), and Zookeeper (for service discovery and coordination). It’s aimed primarily at learners and practitioners of distributed systems who want to see how you might build an RPC system from first principles rather than just use an existing library. The project provides code for client-side stubs, server-side skeletons, method dispatching, serialization, load...
