Projects in Awesome Lists by Samashi47
A curated list of projects in awesome lists by Samashi47 .
https://github.com/samashi47/ml-toolkit-project
A general-purpose toolkit for data preprocessing, machine learning modeling, and visualization.
classification data data-preprocessing machine-learning python3 visualization
Last synced: 30 Jul 2025
https://github.com/samashi47/fstt-llm-chat-bot
A chat bot for the Faculty of Sciences and Technologies of Tangier. Using both RAG and finetuning as separate models.
fine-tuning llama3 llm nlp rag
Last synced: 10 Jul 2025
https://github.com/samashi47/em-algorithm
Expectation–Maximization (EM) algorithm implementation in R and Python, and a comparison with K-means.
clustering em-algorithm kmeans machine-learning python3 r
Last synced: 20 Apr 2026
https://github.com/samashi47/e-commerce-multi-agent-system-jade
An E-Commerce multi-agent-system using JADE, with a JSP web interface and Java servlets.
e-commerce jade jsp multi-agent-systems servlets
Last synced: 24 Apr 2026
https://github.com/samashi47/ozone-dataset-pca-svm-vs-cart
Ozone Day Detection dataset classification, using SVM with and without PCA vs CART Decision Trees.
cart classification decision-trees machine-learning ozone-datasets pca svm
Last synced: 17 Oct 2025
https://github.com/samashi47/multi-layer-perceptron
Implementation of simple perceptron and MLP Classifiers in Python
classification machine-learning multi-layer-perceptron perceptron python3
Last synced: 29 Apr 2026
https://github.com/samashi47/metaheuristics
Implementation of various metaheuristic algorithms in C++ and Python
ant-lion-optimizer cpp genetic-algorithm grey-wolf-optimizer metaheuristics multi-verse-optimizer optimization python3 simulated-annealing tabu-search
Last synced: 01 May 2026
https://github.com/samashi47/3d-content-retrieval
A 3D content retrieval system using Fourier and Zernike descriptors.
3d-models content-retrieval obj-loader opengl python3
Last synced: 06 May 2026
https://github.com/samashi47/content-based-image-retrieval
A content-based image retrieval (CBIR) system with Bayesian relevance feedback, utilizing color, shape, and texture descriptors for efficient image search.
bayesian-inference cbir image-indexing opencv python3 relevance-feedback
Last synced: 20 May 2026