Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

🐦 Quickly annotate data from the comfort of your Jupyter notebook

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Survival analysis built on top of scikit-learn

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

WTTE-RNN a framework for churn and time to event prediction