Beast code in Giters

Manaf Mukred's repositories

Self-Supervised-object-detection

This project utilized Self-Supervised learning methods (SimCLR & SimSiam) to recognize vehicle-type (or any object) based on a custom dataset

Language:Jupyter NotebookBSD-2-Clause2 20

Autoencoder_communication_system

Through this project we address the problem of learning efficient and adaptive ways to communicate binary information over an impaired channel. Here we train an autoencoder for information transmission over an end-to-end communication system

Language:Jupyter Notebook100

Deep_Neural_Networks_with_PyTorch

Fourth course of the IBM AI Engineering specialization

Language:Jupyter Notebook1 10

AI-Act-Geek

A RAG-based chatbot which retrieves context from PDF files and interacts with user via web app (FastAPI, Streamlit, Docker, OpenAI)

Language:Python000

AITensorFlowSpecialization

My notes for coursera course AI TensorFlow in Practice Specialization.

Language:Jupyter NotebookGPL-3.0000

Movielens_Recommendation_System

25M Movielens recommendation system with the use of Pearson Correlation

Language:Jupyter Notebook010

Parallelization_Energy_Calculation_water_molecules

This project was based on parallelizing the calculation of 10k&100k water molecules with different box sizes. The results showed some consistency except for few irregularities in overhead and other fields, but all in all, the results were a good practical example to reflect the time efficiency of parallelization.

Language:C000

Parallelization_nsertion_Sorting_OpenMP

This task introduces the OpenMP in parallelizing heavy complicated task of sorting 100k random numbers along with its corresponding element in the next column. Although it looks shorter in coding, but we give the computer a lot of control to utilize the use of cores which may not be optimal in some cases.

Language:C010