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agra-trials-shiny

This is a agra trials exploration app:

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

archive.org-recovery

A recovery of Practical Plants from archive.org

awhere-r

An R package that facilitates accessing the aWhere Ag Intel Platform using R

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

dotfiles

geo-conversion-shiny

Code repository for a shiny app realizing geo coordinate conversion. Live app can be found here: https://awherelabs.shinyapps.io/convert_coordinate/

just-the-docs

A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

kube-nextcloud

Containerized Nextcloud tailored for Kubernetes / OpenShift

org-super-agenda

Supercharge your Org daily/weekly agenda by grouping items

petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

swirl-course

This repository stores swirl courses I developed for aWhere training

tbn

A theme for personal site

terraswap-graph

Terraswap Indexer + GraphQL

water-stress-shiny

This index, for any location, is expressed as the ratio of accumulative precipitation to potential evapotranspiration during a given time period. It meant to provide users with an easy to understand index and quickly understand climate impact on water stress at any given location around the globe. Access this app online at: https://awherelabs.shinyapps.io/water-stress

weather-visual-shiny

The climate has been so abnormal in the most recent years. I build this tool so that people can view precipitation pattern in any location on demand. Here is a link to the app

weatherawhere

R package for aWhere weather API