optimizer & lr scheduler & loss function collections in PyTorch
muon is a multimodal omics Python framework
Multimodal Data (.h5mu) implementation for Python
Multimodal datasets, in MuData format
Use of Deep Mixture Density Networks to predict Muon Hit positions from Photon propagation time in scintillator bars in Muon Telescopes
Simple muon position reconstruction algorithm in a plastic scintillator
This version of Muon converges slightly faster than the Muon from modded-nanogpt in some cases. The change is RMS-Norm after orthogonalization over the first dimension of the weight matrix (last dimension of nn.Linear). The code here assumes you store the weights like nn.Linear i.e. used like x = x @ W.T.
A university-based physics project measuring muon lifetime using detector geometry, Monte Carlo simulation, and Python visualization to estimate effective area and particle flux.
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