run_compile_subprocess.py
Basics-1-Introduction-to-Python-Programming.ipynb
Practice 02 - How to build a recommender.ipynb
Practice 03 - Content Based Filtering.ipynb
Practice 04 - Collaborative Filtering.ipynb
Practice 05 - Recap - Building an ItemKNN from scratch.ipynb
Practice 06 - SLIM MSE with Gradient Descent and Cython.ipynb
Practice 07 - MF FunkSVD with Cython.ipynb
Practice 07b - MF AsySVD.ipynb
Practice 08 - MF IALS.ipynb
Practice 08b - MF PureSVD NMF.ipynb
Practice 09 - BPR for SLIM and MF.ipynb
Practice 09 - Hyperparameter optimization with Skopt.ipynb
Practice 09b - Hyperparameter optimization with Optuna.ipynb
Practice 11 - MF with PyTorch.ipynb
Practice 12 - Hybrid recommenders.ipynb
Practice 13 - Collaborative Boosted FW.ipynb
Practice 14 - Hybrid model with LightFM on ML.ipynb
Practice extra 09-old - SLIM BPR and SLIM EN.ipynb
cython_example_FunkSVD.py
cython_example_SLIM_MSE.py
run_compile_all_cython.py
run_hyperparameter_search.py
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