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Majid Mortazavi's Projects

azure-sdk-for-python icon azure-sdk-for-python

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

bayesianoptimization_practicalexamples icon bayesianoptimization_practicalexamples

This repository contains a collection of notebooks demonstrating the practical implementation of different flavors of Bayesian Optimization for finding minimum or maximum of an unknown nondifferentiable blackbox function or offer next point for optimal design of experiment.

blog icon blog

Collection of the codes which are used on our blog at https://www.statworx.com/de/blog/

cookbook icon cookbook

A repository of machine learning codes written for re-usability

cortex icon cortex

Machine learning model serving infrastructure

entityembedding-working_example icon entityembedding-working_example

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

industry-machine-learning icon industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

labelimg icon labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme2coco icon labelme2coco

How to create custom COCO data set for instance segmentation

leaf_feature-extraction icon leaf_feature-extraction

A simple approach to extract features from Leaf Images using quasi time-series (based on leaf's outer contours) and similarity distances using Dynamic Time Wrapping

machine-learning-workflow-with-python icon machine-learning-workflow-with-python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

make-sense icon make-sense

Free to use online tool for labelling photos. https://makesense.ai

ml_demystified icon ml_demystified

A repository containing learning resources for machine learning and data science.

mlops-lab icon mlops-lab

This repository contains sample code, which is used for a MLOps Workshop

n-beats icon n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

probability_cheatsheet icon probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

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