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1. weight-usage-analyser weight-usage-analyser Public

   WeightUsageAnalyzer is a lightweight toolkit for analyzing the effective use of weights in neural networks. It provides quantitative metrics (entropy, coverage, FLOPs) and visualizations to identif…

   Python 4

2. reduce-ml-cost-with-quantization-pruning reduce-ml-cost-with-quantization-pruning Public

   This project demonstrates the impact of model design choices on both energy consumption and economic cost. It analyzes the weight importance within a neural network, estimates the total FLOPs requi…

   Jupyter Notebook

3. Deep-Q-Learning-Space-Navigator Deep-Q-Learning-Space-Navigator Public

   This project explores the use of Deep Q-Learning to optimize space trajectories in a simulated solar system. The aim is to enable a rocket to leave Earth and reach a target planet (e.g. Mars) using…

   Python

4. ML-Asteroid-Impact-Prediction ML-Asteroid-Impact-Prediction Public

   As discussions around asteroid risks, like 2024 YRA, continue to rise, I took it upon myself to explore how machine learning could help assess the danger of near-Earth objects NEOs. By using a ML, …

   Python 3

5. GAN-for-Upscaling-Pictures GAN-for-Upscaling-Pictures Public

   The goal was to build a SRGAN able to upscale the resolution of pictures

   Python

6. Convolutional-Autoencoder-for-Image-Compression Convolutional-Autoencoder-for-Image-Compression Public

   This project focuses on image compression using a convolutional autoencoder. The goal is to compress satellite images from the EuroSAT dataset into a compact representation and reconstruct them wit…

   Python 1