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Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

A complete daily plan for studying to become a machine learning engineer.

A few tutorials on getting started with PyTorch and TorchText for sentiment analysis.

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) Python code

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

The "Python Machine Learning (2nd edition)" book code repository and info resource

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

A deep neural network for finding text-independent speaker embedding written in tensorflow and tensorpack

This tutorial gives readers a full understanding of seq2seq models and shows how to build a competitive seq2seq model from scratch.