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1. weight-usage-analyzer weight-usage-analyzer Public

   ML toolkit for analyzing the effective use of weights in neural networks. It provides quantitative metrics (entropy, coverage, FLOPs) and visualizations to identify redundant parameters and guide m...

   Python 5

2. jncraton/languagemodels jncraton/languagemodels Public

   Explore large language models in 512MB of RAM

   HTML 1.2k 81

3. 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 1

4. 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

5. 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 4

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 3