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Sparse-iterative-parallel-linear-solver
This is a sparse iterative parallel linear solver I developed during my PhD. The solver works by splitting the matrix into blocks which are then solved in parallel. The solver assumes the input matrix to already have been ordered by a Reverse Cuthill-Mckee reordering algorithm.Constrained-Neural-Networks
This project provides a novel combination of the field of differential algebraic equations and deep neural networks, and this combination enables us to add constraints to neural networks. We explore various constraint methods and compare their strengths and weaknesses.Boardgame_AI
A general framework made for training neural networks on boardgames.A-Optimal-Active-Learning
A-optimal active learning framework.Parallelization-Framework
An OpenMP parallelization framework developed by me during my PhDmulti-body-pendulum
A module for simulating multi-body pendulumsLapNet
A laplacian network made in JuliaLove Open Source and this site? Check out how you can help us