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Mechatronics + Machine Learning


        

Wilhelm Kirchgässner's Projects

351elec icon 351elec

Handheld firmware optimized for the Anbernic RG351P/M/V devices.

deep-pmsm icon deep-pmsm

Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.

diffeqflux.jl icon diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

diss-wk icon diss-wk

Code, documentation, and figures for the dissertation of Wilhelm Kirchgässner

dq-dtc icon dq-dtc

Demonstration examples of the Deep Q Direct Torque Control algorithm for permanent magnet synchronous motors

mawk-thesis icon mawk-thesis

Masterthesis - Predict a permanent magnet synchronous motor's components' temperature with LSTM/GRU recurrent neural networks using Chainer and particle swarm optimization.

poly-match icon poly-match

Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post

porto-seguro icon porto-seguro

Safe driver prediction. Foresee whether a driver will file an insurance claim

scimlbook icon scimlbook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

thermal-nn icon thermal-nn

Thermal Neural Networks. Application to an electric motor.

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