A PyTorch library for differentiable sparse linear system solvers with automatic differentiation support.
A hands-on collection of Jupyter Notebooks exploring key features of the SciPy library – from constants and optimization to sparse data and graph algorithms. Perfect for students, researchers, and anyone diving into scientific computing with Python.
An alternative movie recommendation system for the CineMatchSM with better predictions. Trained with a Kaggle dataset of over 450000+ entries.
I worked on the topology optimization of bicycle frames for my graduation thesis at Akashi College.
pybear is a Python computing library that augments data analytics functionality found in popular packages that use the scikit-learn API, such as scikit-learn and xgboost.
Python bindings for the SuiteSparse KLU sparse linear solver. PyKLU factors a sparse matrix once and lets you efficiently solve multiple right-hand sides.
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