Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
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Updated
Jul 29, 2024 - Jupyter Notebook
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Translating language to Greek using Trained Model given in python notebook
Training Notebooks for Traffic Models
The neuromuscular model notebook is an interactive tool for studying the underlying mechanisms of electromyogram (EMG) and force generation. The model, which was based on previous studies (see references below), can be used for research purposes as well as a teaching platform.
Can be used as-is for better slashed zeros recognition (especially with the Consolas font). This Repository includes a Jupyter notebook with instructions to train/finetune a Tesseract OCR model.
Notebooks for Yunjun et al. (2021) on Kirishima volcanic complex in Japan
code and notebooks related to the training, evaluation, and application of the FINSURF-adjusted prediction model.
These notebooks contain advanced analysis of ML models of different kind of datasets
Machine Learning Concepts And Models using Octave and Jupyter Notebook
a model that predicts some binary target (class) based on two features
A notebook that basically generates random linear and parabolic data and then it fits various curves (polynomials with different degrees) in that data.
Basic CNN Model: Basic things you need to know when you are starting with Convolutional Neural Network using TensorFlow API. By this notebook you can make your own custom object detection easily. Try some more combinations so that you will get more deeper knowledge about CNN.
Kaggle Notebooks used at competitions or tutorials
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