Simple project with some benchmarks against different libraries

Tools to make programming Arduinos easier.

This project implements a distributed K-means clustering algorithm using a custom-built MapReduce framework. It is designed to handle potentially large datasets by distributing the clustering workload across multiple processes or machines. Uses gRPC for the communication between mapper, reducer, master

Domain Drive Design and It is an API project developed using onion architecture.

An ORM friendly mapper. Allows saving entire entity graphs. Heavily inspired in GraphDiff and AutoMapper.

TS-Mapstruct is an approach of the JAVA MapStruct addapted in TypeScript.

The cleanest way to declare your Rails API view layer. Period.

Create proxy types that tracks dirty properties to simulate 'undefined' values when deserializing json.

Mysql mapper implementation of the authentication and authorization interfaces

Mappers is a Java utility library that provides functionality for mapping entities to Data Transfer Objects (DTOs) and vice versa

Object mappers playground

SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.

this repo was made to practice spring boot.

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

app is base religion view.

MapReduce, Spark, Java, and Scala for Data Algorithms Book

Automapping libraries performance tests using BenchmarkDotNet

Treinando Kotlin e Spring Boot

Go utility functions and helpers

Learning Project (Movie App) For Applying Android Architecture Components And Clean Architecture Using MVVM With Kotlin