XLinpnnl

Pinned Repositories

amazon-sagemaker-immersion-day
Language:Jupyter Notebook01
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
00
ComExDBM
Compound Extremes Data Benchmarking (ComExDBM)
Language:Python10
ds-pipelines-targets-example-wqp
An example targets pipeline for pulling data from the Water Quality Portal (WQP)
Language:R00
EHF
Python code to calculate Excess Heat Factor and derived heatwave metrics
Language:Python00
EIA_Cleaned_Hourly_Electricity_Demand_Code
Code associated with the EIA demand data anomaly screening and imputation project
Language:Jupyter Notebook0 0 00
firedpy
A Python Command Line Interface for classifying fire events from the Collection 6 MODIS Burned Area Product.
Language:Python00
marineHeatWaves
marineHeatWaves is a module for python which implements the Marine Heatwave (MHW) definition of Hobday et al. (2016, Prog Ocean).
Language:Python00
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Language:Jupyter Notebook00

XLinpnnl's Repositories

XLinpnnl/ComExDBM
Compound Extremes Data Benchmarking (ComExDBM)
Language:Python10
XLinpnnl/amazon-sagemaker-immersion-day
Language:Jupyter Notebook01
XLinpnnl/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
00
XLinpnnl/ds-pipelines-targets-example-wqp
An example targets pipeline for pulling data from the Water Quality Portal (WQP)
Language:R00
XLinpnnl/EHF
Python code to calculate Excess Heat Factor and derived heatwave metrics
Language:Python00
XLinpnnl/EIA_Cleaned_Hourly_Electricity_Demand_Code
Code associated with the EIA demand data anomaly screening and imputation project
Language:Jupyter Notebook0 0 00
XLinpnnl/firedpy
A Python Command Line Interface for classifying fire events from the Collection 6 MODIS Burned Area Product.
Language:Python00
XLinpnnl/marineHeatWaves
marineHeatWaves is a module for python which implements the Marine Heatwave (MHW) definition of Hobday et al. (2016, Prog Ocean).
Language:Python00
XLinpnnl/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Language:Jupyter Notebook00
XLinpnnl/SoilGrids250m
Global spatial predictions of soil properties and classes at 250 m resolution