Jupyter Notebook projects by Algerian developers

AI-for-energy-sector

kaymen99/ai-for-energy-sector

Application of machine/deep learning models & algorithms in the energy sector

CS501-Deep-Learning-Complete-Course

dr-saad-la/cs501-deep-learning-complete-course

Computer Science-501: Deep Learning Complete Course

Ranking-social-media-news-feed

sambelkacem/ranking-social-media-news-feed

Ranking news feed updates | Comparison of supervised models

WebItUpBoocamp

gdgalgiers/webitupboocamp

This repository contains resources related to the Web It Up Bootcamp.

Machine-Learning-Projects-in-Oil-and-Gas-Industry

berrehalbadr/machine-learning-projects-in-oil-and-gas-industry

This is a repository that groups a diverse set of machine learning models that I have created, tackling problematics in the oil and gas industry using real data.

Data-Science-Projects-From-Kaggle

fares-ds/data-science-projects-from-kaggle

Data science projects from the Kaggle website: Data Analysis, Data Visualization, Machine Learning, Time Series Analysis, Computer Vision, Natural Language Processing, Predictive Modeling ...

flowshop

adimidania/flowshop

A set of Python Jupyter notebooks exploring the Flow Shop Scheduling Problem (FSP) through exhaustive search, heuristics, local search-based metaheuristics, and population-based metaheuristics such as genetic algorithms, focusing on both solution quality and computational efficiency.

malicious-url-detection

ramzykemmoun/malicious-url-detection

This project classifies and detect malicious URLs using Machine Learning in a web application built with Flask and Next.js

DataThon-TrainIT-Challenges

atouiyakoub/datathon-trainit-challenges

This repository showcases my solutions to DataThon TrainIT challenges, featuring diverse datasets, innovative models, and insightful analyses.

Predicting-using-Neural-ODE

gitteaching/predicting-using-neural-ode

Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.

Prohack-Hacakthon-by-Mckensy-

bouguedra-adem/prohack-hacakthon-by-mckensy-

Predict index of well-being of intergalactic species in the best possible way.And based on this prediction, maximize this index, through optimized allocation of additional energy from recently discovered star

DL-Based-Permutation-Flowshop-Problem

1farz1/dl-based-permutation-flowshop-problem

My Solution to the FlowShop Problem in CSE DataHack

HackINI-2K25-CTF-Public

shellmates/hackini-2k25-ctf-public

Solutions for HackINI.2K25 CTF

cat-dog-classifier-dl

ramzykemmoun/cat-dog-classifier-dl

Training a deep learning model to recognize real images of cats and dogs in order to classify an incoming image as one or the other.

Machine-Learning-Projects

ramzykemmoun/machine-learning-projects

Below you will find a list of Machine Learning projects that are beginner-friendly and popular among Data Science enthusiasts.

Deep-learning-for-computer-vision-workshop-V2.0

mounirouadi/deep-learning-for-computer-vision-workshop-v2.0

Wameedh Scientific Club Deep Learning for Computer Vision workshop repository.

Human-Emotion-Detection-Through-Computer-Vision

bensmail-anis/human-emotion-detection-through-computer-vision

Human Emotion Detection through various deep learning techniques , including using diverse model architectures, Transfer learning , Transformers and data strategies.

Digital-Green-Crop-Yield-Estimate-Challenge

kamel-yamani/digital-green-crop-yield-estimate-challenge

This notebook is my solution in the Digital Green Crop Yield Estimate Challenge hosted by Zindi.

ensia-impact-chatbot

61j3t/ensia-impact-chatbot

RAG Telegram bot answering questions about ENSIA Impact community content

INbreast-hybrid-VGG16-classif

mebriki/inbreast-hybrid-vgg16-classif

Breast Cancer classification of INbreast dataset Mammograms with VGG-16 and SVM in hybrid setting using transfer learning.

Building-a-GPT-Inspired-Transformer-from-Scratch

bensmail-anis/building-a-gpt-inspired-transformer-from-scratch

We build a Mini Generative Pretrained Transformer (GPT) inspired by the "Attention is All You Need" paper -11 M params

developing-gpt2-124M-from-scratch

bensmail-anis/developing-gpt2-124m-from-scratch

A custom implementation of OpenAI's GPT-2(124M) from scratch, following the paper "Language Models are Unsupervised Multitask Learners".We train the model on the FineWeb dataset -10 billion tokens.