This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Pyspark RDD, DataFrame and Dataset Examples in Python language

A repository for all ZenML projects that are specific production use-cases.

Machine Learning Pipelines for Kubeflow

Example Order Book Imbalance Algorithm

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Automated cryptocurrency trading on Coinbase Pro (formerly gdax-trader)

A general-purpose encoder-decoder framework for Tensorflow

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Framework for building complex recurrent neural networks with Keras

Run Universe environments in Windows (maintained by DeepDrive)

Streaming Histograms for Clojure/Java

Pandas On PySpark(POPS)

Masters Thesis

Simple real-time large-scale machine learning infrastructure.

Proof of concept StreamingKMeans + BallKMeans implementation with Storm

The Cloudera Data Science Team's Tools for Data Preparation, Machine Learning, and Model Evaluation.

scikit-learn: machine learning in Python