Pinned Repositories
Data-Science--Cheat-Sheet
Cheat Sheets
DataScienceResources
Open Source Data Science Resources.
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.
Handwritten_Persian_Digits
Convolutional Neural Network for Handwritten Persian Digits Recognition
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
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
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
Statistical-Tests-for-Machine-Learning
A Jupyter-Blog Post Describing Majority of Statistical Tests for Machine Learning
UMAP_Nonlinear-Dimensionality-Reduction_Benchmark
A primer to Uniform Manifold Approximation and Projection (UMAP)
yelp_review_sentiment_prediction_nlp
This repo demonstrate a sentiment prediction based on Yelp reviews using natural language processing based on Glove word embeddings in Keras.
mmortazavi's Repositories
mmortazavi/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.
mmortazavi/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
mmortazavi/yelp_review_sentiment_prediction_nlp
This repo demonstrate a sentiment prediction based on Yelp reviews using natural language processing based on Glove word embeddings in Keras.
mmortazavi/Data-Science--Cheat-Sheet
Cheat Sheets
mmortazavi/productionOptimization
mmortazavi/academy
Ray tutorials from Anyscale
mmortazavi/awesome-data-labeling
A curated list of awesome data labeling tools
mmortazavi/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.
mmortazavi/Bayesian_Machine_Leanring-Examples
Introduction to Bayesian Machine Learning
mmortazavi/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.
mmortazavi/blog
Collection of the codes which are used on our blog at https://www.statworx.com/de/blog/
mmortazavi/cookbook
A repository of machine learning codes written for re-usability
mmortazavi/cortex
Machine learning model serving infrastructure
mmortazavi/datalift-workshop-mlops
mmortazavi/ivis_Dimensionality-Reduction_via_Siamese-Networks
A notebook benchmarking a recently developed Dimensionality Reduction technique using Siamese Networks supporting both supervised and unsupervised modes.
mmortazavi/labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
mmortazavi/labelme2coco
How to create custom COCO data set for instance segmentation
mmortazavi/make-sense
Free to use online tool for labelling photos. https://makesense.ai
mmortazavi/medium
mmortazavi/ml_demystified
A repository containing learning resources for machine learning and data science.
mmortazavi/MLOps-Lab
This repository contains sample code, which is used for a MLOps Workshop
mmortazavi/mmortazavi
mmortazavi/mmortazavi.github.io
Majid Mortazavi's Personal Website
mmortazavi/MS-Azure-Manager
🗃 CLI for easy Microsoft Azure file management
mmortazavi/n-beats
Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
mmortazavi/pandas_spatial_merge_objectdetection
mmortazavi/python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
mmortazavi/refactoring_tutorial
The refactoring tutorial presented in PyConDE 2022.
mmortazavi/spark-training
Repository used for Spark Trainings
mmortazavi/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite