A notebook tutorial series for performing predictive maintenance using machine learning
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Updated
Jun 23, 2020 - Jupyter Notebook
A notebook tutorial series for performing predictive maintenance using machine learning
Use a Raspberry Pi as fast mass storage solution for your Commodore 8-bit computer using just the datassette port.
remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM
C128 MMU 256K RAM expansion
Simple Console 6502/C64 Emulator written in C++ for Portability (ported from simple-emu-c64) ***AND see branches for embedded, LCD versions
CBM 1551 paddle replacement / mass storage using an SD card interfacing with the Commodore C16/116/Plus4 simulating a TCBM bus 1551 disk drive
Reverse engineering the SSE SoftBox, a CP/M system for Commodore PET/CBM computers
Server for hosting software via HTTP for use with Meatloaf. A Commodore 64/128/VIC20/+4 multi-device emulator.
Plotting and analytic utilities for the CHOIR Body Map.
Raspberry Pi and Commodore PET / CBM communication via GPIO and user port.
DolphinDOS 3 board for (but not only) C128DCR internal 1571
Reverse engineering the CGRS Microtech PEDISK II disk system for Commodore PET/CBM computers
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