Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Python Backtesting library for trading strategies
Lane Finding Project for Self-Driving Car ND
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
Deep Convolutional Generative Adversarial Networks
Algorithmic trading with deep learning experiments
Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
The book's repo
source code from the book Genetic Algorithms with Python by Clinton Sheppard
A Java-annotation based object mapper that helps convert your bean-like objects to HBase row data (and vice-versa). For use in Map/Reduce jobs involving HBase tables (and their unit tests). Helps define Data Access Objects for HBase entities.
Automatically exported from code.google.com/p/jedi-obi
My solution for Quora's Question Pair contest on Kaggle.
My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Mastering Apache Spark 2
Jupyter (IPython) notebooks for exploring mixture models
Recurrent Neural Networks - A Short TensorFlow Tutorial
Showcase of deploying a Spring Boot application as a Windows Service