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Search: Machine-Learning-for-Streaming-Data-with-Python
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Showing 5 results from 5
molyswu/hand_detection
GitHub Pythonusing Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) datas... Read more
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GitHub
adaptive-machine-learning/CapyMOA
GitHub Jupyter Notebook BSD 3-Clause "New" or "Revised" LicenseEnhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
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GitHub
PacktPublishing/Machine-Learning-for-Streaming-Data-with-Python
GitHub Jupyter Notebook MIT LicenseMachine Learning for Streaming Data with Python, published by Packt
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GitHub
Apress/practical-ml-streaming-data-python
GitHub Python OtherSource Code for 'Practical Machine Learning for Streaming Data with Python' by Sayan Putatunda
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GitHub
Mamtapriya/Linear-Regression-of-data-driven-battery
GitHub Jupyter NotebookMachine-learning approach In this work, author has developed data-driven models that accurately predict the cycle life of commercial lithium iron phosphate (LFP)/ graphite cells using early-cycle data, with no prior knowledge of degradation mechanisms. To build an early-prediction model, a feat... Read more
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GitHub