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lifeisawavesorideit's Projects

evaluation-paper icon evaluation-paper

Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"

examples-1 icon examples-1

Collection of example applications and tools to help you get familiar with TimescaleDB

gos7 icon gos7

Implementation of Siemens S7 protocol in golang

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

materials icon materials

Bonus materials, exercises, and example projects for our Python tutorials

ml-tool-wear icon ml-tool-wear

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"

parkplaetzedd icon parkplaetzedd

Analyse und Machine Learning mit offenen Parkplatzdaten aus Dresden

python-snap7 icon python-snap7

A Python wrapper for the snap7 PLC communication library

python-trading-robot icon python-trading-robot

A trading robot, that can submit basic orders in an automated fashion using the TD API.

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

turbofan_usefull_life_prediction icon turbofan_usefull_life_prediction

given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.

weibull-knowledge-informed-ml icon weibull-knowledge-informed-ml

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

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