A hyperparameter optimization framework

Hummingbird compiles trained ML models into tensor computation for faster inference.

Open source platform for the machine learning lifecycle

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

Data science interview questions with answers. Not ideally (yet)

A list of useful resources to learn Data Engineering from scratch

The "Python Machine Learning (1st edition)" book code repository and info resource

Data science interview questions and answers

This is my repository for Data Structures using Python

Content aware image resizing

Content-Based Image Retrieval system (KTH DD2476 Project)

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Git your game on!

The website.

Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

Time Series Analysis Concepts Explained with examples

Python package to accelerate the sparse matrix multiplication and top-n similarity selection

Collection of shape files, GeoJSON files for Maps for India

A game theoretic approach to explain the output of any machine learning model.

ImageNet classifier with state-of-the-art adversarial robustness

A tutorial for widgets

📝 An awesome Data Science repository to learn and apply for real world problems.

based on https://medium.com/@ageitgey/how-to-break-a-captcha-system-in-15-minutes-with-machine-learning-dbebb035a710 by https://github.com/ageitgey

List of Data Science Cheatsheets to rule the world

List of resources & possible pathway for the Math of Machine Learning and AI.

Named Entity Recognition (LSTM + CRF) - Tensorflow