hamzagbada's Projects
Spring boot CRUD (Create, Read, Update, Delete) example using PostgreSQL and JpaRepository
The main idea is to develop an application explains CRUD operations using spring boot and MongoDB. In this app we are using MongoTemplate for built-in methods to do CRUD operations and Mongo queries.
This project aims to develop a medical image processing library using a service-oriented architecture.
This is a tutorial about Docker
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for generative AI
An implementation from scratch of Graph Convolutional Networks (GCN) using Numpy
The Unified AI Framework
This repository contains the materials and instructions for the Java and Object-Oriented Programming lab conducted during the academic year 2023/2024 at the National Engineering School of Sousse.
Winning Solutions from Local Ocean Conservation - Sea Turtle Face Detection (Zindi)
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
A concise implementation of some machine learning Algorithm from scratch (using Numpy) and a comparison with Scikit-learn implementation results
Script to see the evolution of RAM in realtime.
🖼️ A command-line system information tool written in bash 3.2+
This is a tutorial about Numba-CUDA
This repository contains the official implementation of the paper titled Multimodal weighted graph representation for information extraction from visually rich documents.
WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021