Search Results for "sample" - Page 5
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504 projects for "sample" with 1 filter applied:
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cppcrypto
C++ cryptographic library (modern hash functions, ciphers, KDFs)
...AEAD modes: Encrypt-then-MAC (EtM), GCM, OCB, ChaCha-Poly1305, Schwaemm. Streaming AEAD. MAC functions: HMAC, Poly1305. Key derivation functions: PBKDF2, scrypt, Argon2, HKDF. Includes sample command-line tools: - 'digest' - for calculating and verifying file checksum(s) using any of the supported hash algorithms (similar to md5sum or RHash). - 'cryptor' - for file encryption using Serpent-256 algorithm in AEAD mode. Check out the cppcrypto web site linked below for programming documentation. -
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makemore
An autoregressive character-level language model for making more
...It includes implementations ranging from simple bigram models to MLPs, recurrent networks, LSTMs, GRUs, and transformers. Training progress, checkpoints, logs, and generated samples are written to a selected working directory. Models can also be loaded in sample-only mode for generating additional outputs without retraining. Its main purpose is to teach how increasingly sophisticated autoregressive language models work. -
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go-coffeeshop
A practical event-driven microservices demo
go-coffeeshop is a sample application that demonstrates how to build scalable and maintainable systems using Go, following clean architecture principles and domain-driven design concepts. It simulates a coffee shop system, providing a realistic context for implementing business logic, APIs, and data handling. The project is structured to separate concerns clearly, with layers for domain logic, application services, infrastructure, and interfaces. -
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teleport
Task-based bidirectional sync script utilizing rsync
...Sync operations are organized as customizable sync tasks that can be selectively chosen each time the script is executed. To use the script, browse the code repository, and download files 'teleport.rb' and the sample config file. For more information, read README. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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About SwiftUI
Gathering all info published, both by Apple and by others
About SwiftUI is a curated reference repository that gathers documentation, tutorials, videos, libraries, examples, and other resources related to Apple’s SwiftUI framework. It was created to provide developers with a single place to discover material that would otherwise be spread across many sources. Official Apple documentation and WWDC sessions are organized alongside community-created content. The collection includes books, courses, articles, testing resources, Xcode extensions,... -
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MTCNN Face Detection Alignment
Joint Face Detection and Alignment
...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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DDD sample application
Domain-Driven Design sample application
The previous home of the Domain-Driven Design sample application implementation. -
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Text Classification
All kinds of text classification models and more with deep learning
...It includes classic and advanced models such as fastText, TextCNN, BERT, TextRNN, RCNN, hierarchical attention networks, seq2seq attention, Transformers, dynamic memory networks, entity networks, ensembles, and boosting methods. The repository also includes training, prediction, testing, preprocessing, sample data, cached data guidance, and performance comparison notes. Overall, it is a hands-on reference for developers and researchers who want to experiment with deep learning methods for text classification. -
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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. REST API endpoints and JSON marshalling/unmarshalling. File uploads and static file serving. -
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...User application consists of database objects definition, declarative forms definition (stored in Oracle or PostgreSQL repository database) and java classes, which extеnds base form class. Constructor are based on this library and also may be used as sample application. Project was started in year 2003 as C++/Win32 library. In year 2006 it was completely rewritten in java.
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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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Glicol
Graph-oriented live coding language and music/audio DSP library
...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. It can run in browsers via WebAssembly, as well as in desktop applications, VST plugins, and embedded systems like Bela boards, making it highly portable. -
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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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graphql-client
A Ruby library for declaring, composing and executing GraphQL queries
GraphQL Client is a Ruby library for declaring, composing and executing GraphQL queries. Sample configuration for a GraphQL Client to query from the SWAPI GraphQL Wrapper. If you haven't already, familiarize yourself with the GraphQL query syntax. Queries are declared with the same syntax inside of a <<-'GRAPHQL' heredoc. There isn't any special query builder Ruby DSL. This client library encourages all GraphQL queries to be declared statically and assigned to a Ruby constant. ... -
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Job-DSL Gradle Example
An example Job DSL project that uses Gradle for building and testing
This is a sample project showing how to use the Jenkins Job DSL plugin in a Gradle-based setup. It provides example DSL scripts that generate Jenkins jobs, and integrates them into a Gradle build for automated job generation, testing, and validation. Configurable job definitions (folders, branches, parameters). Tests for DSL scripts to validate generated XML. -
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WebRTC Chrome Extensions
WebRTC chrome extensions for screen sharing, screen recording
Chrome Extensions is a collection of WebRTC-focused Chrome extension examples from Muaz Khan. It includes extensions for recording screens, sharing desktops, sharing application windows, capturing YouTube audio, and related browser media workflows. The repository is organized as a set of small extension projects rather than one single application. Developers can study the source code to understand Chrome extension permissions, desktop capture behavior, and WebRTC media integration. Some... -
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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. The repository is not a full implementation of the entire RLHF pipeline, but rather an archival hub supporting the published research—providing transparency around evaluation and human labeling standards. ... -
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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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Desktop
Building Local-First apps for Windows, MacOS, Linux, iOS and Android
desktop enables building cross-platform desktop applications with Elixir by pairing a Phoenix/LiveView UI with a native webview shell. The approach keeps application logic on the BEAM—supervised, fault-tolerant, and hot-reload-friendly—while rendering an HTML/CSS/JS interface inside the system’s embedded browser engine. It offers conveniences for packaging and distribution on Windows, macOS, and Linux, including app metadata, icons, and startup integration. The library exposes... -
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misc genomics tools
Various scripts used in sequencing, annotation and RNAseq analysis
This is a collection of various programs developed in the course of a genomics project, involving the Pseudomonas strain NCIMB10586 These include * identifying and correcting errors in an (eg) pacbio genome sequence using illumina reads * prokaryotic sequence/genome annotation * RNAseq analysis - normalisation and collation of multiple samples as a group * RNAseq visualisation All scripts are provided on a 'best efforts' basis, however due to various system changes I do not... -
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CameraVoyeur
Windows-oriented utility to log frames from a connected camera devices
...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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The Artificial SEM Image Generator (ARTIMAGEN) is a library that generates artificial scanning electron microscope (SEM) and helium-ion microscope images of various samples, including gold-on-carbon resolution sample, or some semiconductor features.
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MarvelHeroes
A sample Marvel heroes application based on MVVM
MarvelHeroes is a demo application based on modern Android application tech-stacks and MVVM architecture. Fetching data from the network and integrating persisted data in the database via repository pattern. -
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Spring Boot Learning
Spring Boot Tutorial Source Code
SpringBootLearning is a collection of sample applications that accompanies an unofficial Chinese-language Spring Boot tutorial series. It starts with basic project creation and configuration, then expands into common backend development tasks. The examples cover JDBC, JPA, MyBatis, MongoDB, Redis, transactions, caching, and several messaging technologies. Additional modules demonstrate REST documentation, Swagger, file uploads, form validation, scheduled tasks, asynchronous methods, and service consumption. ...
