Projects in Awesome Lists by NajdBinrabah
A curated list of projects in awesome lists by NajdBinrabah .
https://github.com/najdbinrabah/music-recommendation-system
This project explores diverse "Recommendation Techniques", each offering a distinct approach to predicting user preferences.
clustering-based-recommendation content-based-recommendation data-science ensamble-model item-item-filtering machine-learning matrix-factorization music-recommendation-system popularity-based-recommendation python recommendation-system user-user-filtering
Last synced: 12 Mar 2025
https://github.com/najdbinrabah/deep-learning-with-tensorflow-and-keras
This project explores emotion recognition in audio data, focusing on feature extraction techniques while also comparing the performance of LSTM and 1D CNN models.
1d-convolutional-neural-network audio-analysis chroma-features convolutional-neural-networks data-science deep-learning deep-neural-networks emotion-detection feature-extraction keras librosa long-short-term-memory-network machine-learning mel-frequency-cepstral-coefficients mel-spectrogram multiclass-classification python recurrent-neural-networks tensorflow
Last synced: 06 Apr 2025
https://github.com/najdbinrabah/deep-learning-with-pytorch-and-captum
This project classifies smoking images using VGG19 with data augmentation, and Captum for model explainability, identifying key features per prediction.
binary-classification captum data-augmentation data-science deep-learning deep-neural-networks grad-cam image-classification integrated-gradients layer-attributions machine-learning occlusion primary-attributions python pytorch transfer-learning vgg19-model
Last synced: 12 Mar 2025