Modern JavaScript Tutorial

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Supervised forecasting of sequential data in Python.

An implementation of a sequence to sequence neural network using an encoder-decoder

Keras implementations of Generative Adversarial Networks.

Learning Accurate Generative Models of Business Processes With LSTM Neural Networks

Repository containing notebooks of my posts on Medium

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…

Sequence to Sequence Learning with Keras

100 Days of ML Coding

Friendly machine learning for the web! 🤖

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.