Search Results for "code blocks sample" - Page 4
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206 projects for "code blocks sample" with 1 filter applied:
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Streamline Azure Security with Palo Alto Networks VM-SeriesImprove your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
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Kitten
A statically typed concatenative systems programming language
...The language explores disciplined handling of side effects, aiming to separate pure transformations from operations that perform I/O or mutate state. Its design encourages small, reusable building blocks that compose cleanly, while still permitting low-level control where performance matters. The implementation targets efficient compiled code and investigates how advanced type systems can improve reliability in a stack-based language. As a research project, Kitten serves both as a language to experiment with and as a vehicle for ideas about safety and structure in concatenative programming. -
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R Packages (r-pkgs)
Building R packages
rpkgs (in GitHub via hadley/r-pkgs) is the source (text + examples) for the book R Packages by Hadley Wickham and Jenny Bryan. The book teaches how to develop, document, test, and share R packages: the practices, tools, infrastructure, workflows, and best practices around package development in R. The repository contains the code, text, site content for building the book, examples, exercises, etc. It is not a software library to be loaded in R (except perhaps the examples), but a... -
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Food Truck
SwiftUI sample code from WWDC22
...It integrates with platform frameworks like Charts, widgets, and notifications to highlight how to surface insights and re-engage users. The code emphasizes testability and separation of concerns, illustrating how to structure features and preview them with sample data. For teams adopting SwiftUI at scale, it serves as a guided reference that balances clean architecture with platform-native polish. -
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ClojureDart
Clojure dialect for Flutter and Dart
ClojureDart is a modern dialect of Clojure that compiles to Dart, enabling developers to create native mobile, desktop, web, and CLI applications using the Flutter and Dart ecosystem with Clojure syntax while offering production-ready performance. You should get the sample running either in Chrome or as a desktop app. Compiles Clojure code into Dart to produce mobile, desktop, and web apps. Production-ready toolchain, with stable compiler used in real-world apps. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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ixy-languages
A high-speed network driver written in C, Rust, C++, Go, C#, Java
...This project reimplements the ixy driver architecture in Rust, Go, C++, Zig, and possibly other languages, maintaining the same driver semantics and API so users can compare performance, expressivity, safety, and expressiveness trade-offs. The repository helps systems and networking learners understand how low-level I/O code behaves differently in memory-safe languages versus unsafe ones. Each language subdirectory includes build scripts, language-specific idioms (e.g. unsafe blocks in Rust), binding layers, and benchmarks for packet I/O and latency. -
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MTCNN Face Detection Alignment
Joint Face Detection and Alignment
...The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. The repository includes Caffe / MATLAB code, support scripts, and instructions for dependencies. Non-maximum suppression and bounding box regression at each stage. Online hard sample mining to improve training robustness. -
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build-web-application-with-golang
A golang ebook intro how to build a web with golang
This repository is an e-book and tutorial code base that demonstrates how to build a web application in Go (Golang). It provides step-by-step guidance, sample code, explanations, and best practices around routing, handlers, templates, sessions, form handling, file upload, JSON APIs, authentication, and more, intended for learners of Go web development. Code examples for routing, handlers, and HTTP request/response handling. -
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Your online shop
Simple Modern Ecommerce in NodeJs. Using Mongodb.
...Main features: - Modern SPA (Single Page Application) - Easy edition - Quick purchase process - Site pages (About, Contact, ect...) - Themes (components / templates) - Multi-shop - Very light code ** Live Demo: http://youronlineshop.net/sample/ Web administrator login (user/password): webadmin/webadmin Product administrator: productsadmin/productsadmin Orders manager: ordersadmin/ordersadmin ** Video Demo https://youtu.be/PD_olszbGWA --------- ---------- --------- ---------- --- SUPPORT & HOSTING SERVICE: --------- ---------- --------- ---------- --- - Questions and requests: melchorherrera@gmail.com -
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comby
A code rewrite tool for structural search and replace that supports
Comby is a tool for searching and changing code structure. Use lightweight templates to easily search and change code, HTML, or JSON. Comby is designed to work on any language or data format. Perform richer search and replace because Comby understands the syntax of code blocks, strings, and comments for your language. Comby is ideal for touching up pieces of code. Use it to translate code like this Python 2 to 3 fixer on the right to replace deprecated methods. ... -
Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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ConvNeXt
Code release for ConvNeXt model
ConvNeXt is a modernized convolutional neural network (CNN) architecture designed to rival Vision Transformers (ViTs) in accuracy and scalability while retaining the simplicity and efficiency of CNNs. It revisits classic ResNet-style backbones through the lens of transformer design trends—large kernel sizes, inverted bottlenecks, layer normalization, and GELU activations—to bridge the performance gap between convolutions and attention-based models. ConvNeXt’s clean, hierarchical structure... -
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Flowy
The minimal javascript library to create flowcharts
flowy is a minimal JavaScript library for building interactive flowchart-style interfaces in web applications, allowing developers to create node-based editors, automation builders, or visual programming tools with relatively little code. It provides draggable, connectable blocks (nodes) that can be placed on a canvas, connected via lines, and rearranged dynamically while preserving the underlying graph structure. The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. ... -
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Flutter Hooks
React hooks for Flutter
...Common hooks like useState, useEffect, and useMemoized provide clear ways to manage lifecycle and dependencies inside a widget’s build method. The library improves code readability by keeping logic close to the UI definitions and avoiding repetitive patterns. By encapsulating behavior in hooks, developers can create reusable building blocks across multiple widgets. It integrates seamlessly with existing Flutter tools and promotes cleaner, functional-style widget code. -
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Unified Code Generation
Open-source code generator for Simulink/Stateflow
This project provides an open-source framework for the generation of high quality source code which is suitable for safety-critical applications and certification (e.g DO-178B). Currently a Simulink and Stateflow front-end and a C-language back-end are included. Some of the strengths of UCGN: - Clearly readable source-code - Separation of functionality and parameters ("tunable parameters") - Robust data storage (compile-time static structures in favor of pointer run-time constructs) - Clear software architecture, direct correspondence to the model architecture - Separation of reusable library code - Simplicity and uniformity of software interfaces (for testing etc.) ... -
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Glicol
Graph-oriented live coding language and music/audio DSP library
...It introduces a unique paradigm where audio synthesis and sequencing are represented as interconnected nodes, allowing developers and musicians to construct complex sound pipelines through declarative code. The language is designed to be accessible to beginners while still offering powerful capabilities for advanced users, enabling both quick experimentation and precise control over audio generation. Glicol’s engine operates without garbage collection and is optimized for real-time performance, achieving sample-accurate audio synthesis across multiple platforms. ... -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. 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. -
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Following Instructions with Feedback
Training Language Models to Follow Instructions with Human Feedback
The following-instructions-human-feedback repository contains the code and supplementary materials underpinning OpenAI’s work in training language models (InstructGPT models) that better follow user instructions through human feedback. The repo hosts the model card, sample automatic evaluation outputs, and labeling guidelines used in the process. It is explicitly tied to the “Training language models to follow instructions with human feedback” paper, and serves as a reference for how OpenAI collects annotation guidelines, runs preference comparisons, and evaluates model behaviors. ... -
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React For Beginners
Starter files for learning React.js with React for Beginners
React For Beginners serves as the official starter code bundle for the “React For Beginners” course by Wes Bos, designed to help developers follow along (or revisit later) with the hands-on app built in the video series. The code includes the base app (“Catch of the Day”) and the stepped solutions at each video stage, giving learners a way to either build up by themselves or reference the exact result when needed. Because the project uses modern React tooling (Webpack, create-react-app style... -
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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... -
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JDynamiTe, Dynamic Template in Java
Dynamically generate documents from templates
JDynamiTe is a tool which allows you to dynamically create documents in any format from "template" documents. And very few lines of code (or no line at all!) are needed to do that. Some typical usage domains of JDynamiTe are: - dynamic Web pages creation, - text document generation, - source code generation... In fact, it can be useful in any case where pre-defined documents (templates) have to be dynamically populated with data. The main benefit of JDynamiTe is to allow a true... -
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CameraVoyeur
Windows-oriented utility to log frames from a connected camera devices
...The project shows how to access the camera stream, keep it running, and expose the captured output for later use or display. Because it’s in a regular GitHub repo and not a closed binary, you can inspect the code to see how device selection, frame acquisition, and UI/display are wired. This makes it useful for developers who want to add camera capture to a Windows tool or who need a barebones sample to build surveillance, monitoring, or computer vision toys on top of. Its value is really in being a simple, readable reference rather than a big camera suite. -
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CAM
Class Activation Mapping
...The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class. -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
...Because it's part of the author’s learning-path repositories, it likely is integrated with tutorials, sample datasets, and contextual guidance, which helps users bridge theory. -
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PyCls
Codebase for Image Classification Research, written in PyTorch
pycls is a focused PyTorch codebase for image classification research that emphasizes reproducibility and strong, transparent baselines. It popularized families like RegNet and supports classic architectures (ResNet, ResNeXt) with clean implementations and consistent training recipes. The repository includes highly tuned schedules, augmentations, and regularization settings that make it straightforward to match reported accuracy without guesswork. Distributed training and mixed precision are... -
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Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. -
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Flutter Widgets
Source code for various Flutter widgets that are developed by Google
flutter.widgets (often referred to as the “Flutter Widgets” extras) is a grab bag of production-hardened widgets, utilities, and patterns that complement Flutter’s core framework. It showcases best practices for adaptive layouts, scrolling behavior, input handling, and platform nuances that occur in real apps—not just demos. Many components are small, focused building blocks you can compose, which keeps your widget tree readable while solving thorny UI edge cases. The package is also a...
