Majid Mortazavi's Projects
Ray tutorials from Anyscale
A curated list of awesome data labeling tools
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.
Introduction to Bayesian Machine Learning
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.
Collection of the codes which are used on our blog at https://www.statworx.com/de/blog/
A repository of machine learning codes written for re-usability
Machine learning model serving infrastructure
Cheat Sheets
Open Source Data Science Resources.
This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.
Convolutional Neural Network for Handwritten Persian Digits Recognition
A curated list of applied machine learning and data science notebooks and libraries across different industries.
A notebook benchmarking a recently developed Dimensionality Reduction technique using Siamese Networks supporting both supervised and unsupervised modes.
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
How to create custom COCO data set for instance segmentation
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
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
Free to use online tool for labelling photos. https://makesense.ai
A repository containing learning resources for machine learning and data science.
This repository contains sample code, which is used for a MLOps Workshop
Majid Mortazavi's Personal Website
š CLI for easy Microsoft Azure file management
Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.