Discover tvhahn/ml-tool-wear Open Source project by Tim (@tvhahn)

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52
Rank 560,474 (Top 12 %)
Language
Jupyter Notebook
License
MIT License
Created over 4 years ago
Updated over 3 years ago

tvhahn

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Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

weibull-knowledge-informed-ml

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

Python

119

compute-canada-hpc

Beginner tutorials and help for using Compute Canada's High Performance Computer. Learn to setup and run a Jupyter Notebook!

Jupyter Notebook

PyPHM

Machinery data, made easy. Easily download and prepare common industrial datasets.

Python

Manufacturing-Data-Science-with-Python

Data science applied to problems in manufacturing (and some other ML stuff too).