davesteps

David Stephens's repositories

machLearn

Machine learning dashboard created with R/shiny

Language:RApache-2.081 7 5

geoExploreR

dashboard to visualise geographic data

Language:RApache-2.020 4 2

shinyFilters

Cascading filter modules for Shiny

Language:RApache-2.012 4 9

homebrewR

An app to explore and compare beer recipes.

Language:RApache-2.010 20

nav-rl

Language:Python1 10

manly_randomization_test

A python implementation of Manly randomization test

Language:PythonApache-2.0010

r.dvc.api

Language:R010

Azure-GPU-Setup

Azure GPU

Language:Shell010

cml_dvc_case

Language:Python000

courses

fast.ai Courses

Language:Jupyter NotebookApache-2.0010

davesteps.github.io

Language:HTML010

docker-cron

Language:Dockerfile010

docker-rstudio-server

Dockerfile for RStudio Server

Language:DockerfileMIT010

docker-various

Language:Python010

dvc-studio-demo

Language:Python010

EARL2018

Visualizing Huge Amounts of Fleet Data using Shiny and Leaflet

Language:R010

example_cml

Language:Python000

gpu-keras-rstudio

Dockerfile

Language:HTMLMIT010

Iris-Dataset

Language:Jupyter Notebook000

kaggle_icebergs

Language:Python010

keras-rl

Deep Reinforcement Learning for Keras.

Language:PythonMIT010

kluster

A distributed multibeam processing system built using the Pangeo ecosystem

Language:HTMLCC0-1.0000

LNnodeInsight

A DYOR engine for the Lightning Network

Language:RGPL-3.0000

MBES-lib

Multibeam echosounder function library

Language:C++MIT000

mydogbytes

Language:R010

projectNickel

Language:R010

projectThimble

Language:Python010

qlearning4k

Q-learning for Keras

Language:Python010

shinylive_test

Language:Python010

umbrel

A beautiful personal server OS for a Raspberry Pi or any Linux distro for running self-hosted apps

Language:ShellNOASSERTION000