maxpumperla

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

elephas

Distributed Deep learning with Keras & Spark

deep_learning_and_the_game_of_go

Code and other material for the book "Deep Learning and the Game of Go"

betago

BetaGo: AlphaGo for the masses, live on GitHub.

learning_ray

Notebooks for the O'Reilly book "Learning Ray"

ScalphaGoZero

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

entropy-mdlp

Minimum description length principle algorithm in Python, for optimal binning of continuous variables

cthulhu

Cthulhu: Deep Learning for demons

pyreadme

pyreadme - Python interface for the readme.io HTTP API

covid-19-vis

COVID-19 development gapminder visualisation

iot-demo

Sketching a Real-Time Analytics Pipeline in Python

rl-course-exercises

Public notebook for colab-hosted exercises for https://applied-rl-course.netlify.app/

ds-demo

typer

Typer, build great CLIs. Easy to code. Based on Python type hints.

askmybook

dqn

dummy

for testing only

elite-pine

Jamstack site created with Stackbit

factory-puzzle

Factory solver implementation

habittracker

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

katacoda-scenarios

Katacoda Scenarios

maxpumperla

microdist

A tiny distributed neural network implementation based on micrograd and Ray

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

ray-docs-sandbox

rl-course-binder

Binder dependencies for applied-rl-course.netlify.app

rllib-trainer

sphinx-book-theme

A clean book theme for scientific explanations and documentation with Sphinx

strumpf

Skymind Test Resource Upload Management for Paunchy Files (STRUMPF)