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Hamiltonian Monte Carlo (HMC) sampling method in Python3, based on the original paper: Simon Duane, Anthony D. Kennedy, Brian J. Pendleton and Duncan Roweth (1987). "Hybrid Monte Carlo". Physics Letters B. 195 (2): 216–222.
HMCi is a utility that collects metrics from one or more IBM Power Hardware Management Consoles (HMC), without the need to install agents on logical partitions / virtual machines running on the IBM Power systems.
Modified TensorFlow implementation for training MCMC samplers on Lattice Gauge Theory models from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
Scripts to download & install camera-streamer for a Raspberry Pi Zero 2 with Camera Module v3 Wide. The primary use case is as a wireless HMC (Helmet Mounted Camera) for facial motion capture.
Ruby software to create reports about AIX Power environements (HMC, Power servers, VIOSes, NIM servers etc). Next version will allow also manage it. This API is unstable, stable version is expected in September 2020