AIT ALI YAHIA Rayane's Projects
Bunch of labs for Ansible developers to increase their skills and become better developers
This script allows you to create an entire ,fully configured VirtualHost to serve content for multiple domains. Those hosts are typically used when it is not cost-effective to spin up multiple (virtual) machines to serve out many low-traffic sites.
RSA Asymmetric Encryption
This is a Blockchain Application based on IOTA Masked Authenticated Messaging API , to monitor sensor data delivered by embedded system under NodeJS
Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
This repo is for you and me, with practical exemples about how wen can use genAI for multiple tasks.
Bunch of practice for git, for every developers :)
a Gaussian Mixture Model (GMM) based anomaly detector, inheriting from the GaussianMixture class in scikit-learn. The gmmAnomalyDetector class provides methods for anomaly detection using GMM.
This is a low implementation of internal register addressing of LM75BD sensor using Mbed LCP1768 interfacing with I2C communication protocol.
Max voting of 4 Optimized Classifiers based on decision tree algorithms
Replication jodie model
In this notebook, I compared two famous clustering algorithm, the minibatchkmeans and the regular kmeans on cellular image dataset.
This repo serves as a minimalistic template for setting up a Flask web application with Continuous Integration/Continuous Deployment (CI/CD) capabilities.
Simple repo for you to practice nodejs :)
This is my implementation of the OSIC competition hosted on Kaggle ,where it was about dealing with tabular and images data
Learn to manage Python projects with a focus on DevOps best practices, PEP8 compliance, and hooks, leveraging tools like Black, Pylint, flake8, Pytest, and CI/CD
This is a bunch of my pytorch notebooks,where you will find the basis of Pytorch and its implementation of neural networks ,transfer learning etc..;
In this code, we propose a different implementation fo the original paper https://arxiv.org/abs/1709.07124 under PyTorch. This architecture is constructed by unfolding the iterations of a sequential iterative soft-thresholding algorithm (ISTA) that solves the optimization problem for sparse nonnegative matrix factorization (NMF) of spectrograms. We name this network architecture deep recurrent NMF (DR-NMF)
Code for our Reproducibility Challenge Paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks".
This is my implementation of a stacked regressor using optimized SVM and random Forest using Optuna.The actual inputs of the combined regressor is a latent representation of 220 inputs compressed into 5 ,extracted using an auto-encoder implemented under Keras
This is a simulated environment that conceptualize a network of IOT devices, where every devices contains one part of the pre-trained model represented by a class. I also made the network resilient to electrical disruption and robust to intermediate node fail, by adding an extension layer in the final node that will re-connect the initial node with the final layer
Competitive programming using Rust
These are helpers for data structures and examples of key concepts on Rust in ready to use ,inspired from the rust cook book
This is a Rust implementation of the famous Grep command in Linux used to search for a String in a file
RestAPI + Airflow + s3 uploading
This is a straight forward implementation of vanilla-autoencoder applied on image compression using Pytorch