Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Hibernate Tutorials with Spring Boot and Spring-Data-JPA

REST API with Spring Boot ,Swagger 2, Data JPA, hibernate, Mysql, One to Many , Many to One Bidirectional mapping

The goal of this project is to study the JPA relationships: one-to-one, one-to-many / many-to-one, and many-to-many.

A lightweight C library based on one-one and many-one model for threading.

Many-to-one sliding window LSTM implementation in Pytorch

Allow gorm's Where() to take in maps of maps that are automatically converted into subqueries

Spring data jpa tutorial

This project includes the implementation of a clinic's database from a relational diagram where the tables and their columns are specified, as well as the relationships between them. Accordingly, the tables are built and their relationships are established.

biLSTM model with the attention mechanism. Example of prediction/inferencing included.

Library-Management-System using MERN stack to perform CRUD across multiple documents

Book Manager One-To-Many Relationship project for Spring Boot

A multithreading library for POSIX-compliant Unixes

hibernate examples

Employee and Department Data Managements System Performing CURD operations ,Adding employees with respect to their departments and performing get all the employees, remove employees update employee while performing same for department

Build restaurant menu RESTful API with ASP.NET Core and MongoDB

A multithreading library, authored in C, compliant with POSIX systems,(includes one-one , many-one and a rudimentary version of many-many mapping)

A univariate LSTM model to predict IBEX 35 index stock market returns

MySQL ORM library with Database First model that lets you create Entities with complex relationships and queries.

HoodieFoodie (Online Food Delivery App); to form a bridge between customer and restaurant; to cater the issue of delivering food to the doorstep of customer; fully functional with MVC design pattern in Spring Boot; handled all type of exception; used JPA and JPQL ; lombok and swagger; db relationship; Register_LogIn_Out;