Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

code for Mesh R-CNN, an academic publication, presented at ICCV 2019

code for Data Science From Scratch book

Code for the paper Music Source Separation in the Waveform Domain

The “Python Machine Learning (3rd edition)” book code repository

A framework for Privacy Preserving Machine Learning

Code samples for my book “Neural Networks and Deep Learning”

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.