eabarnes1010/ml_tutorial_csu

material for the CSU-led machine learning tutorial for earth science research

Jupyter Notebook
This is stars and forks stats for /eabarnes1010/ml_tutorial_csu repository. As of 02 May, 2024 this repository has 77 stars and 16 forks.

Applied Machine Learning Tutorial for Earth Scientists Tutorial materials of the python examples (.py), data (.csv,.nc), and jupyter notebooks (.ipynb) used in the Machine Learning Tutorial for Earth Scientists created by members of the Atmospheric Science Department at Colorado State University. Materials The tutorial materials consist of two items. slide deck: provided as a pdf here, or as Google Slides code: provided in the code/ directory here Tensorflow Code Code was written on iMacs using python...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
IDEA-opensource/DAB-DETRJupyter NotebookPythonCuda4370690
barbagroup/CFDPythonJupyter NotebookOther3k01.1k0
ine-rmotr-curriculum/freecodecamp-intro-to-numpyJupyter Notebook40701.5k0
brandon-rhodes/homedirPerlPythonShell2000210
KeithGalli/Pandas-Data-Science-TasksJupyter NotebookPython76502.7k0
pschatzmann/arduino-audio-toolsCJupyter NotebookC++91901570
jessevig/bertvizPythonJavaScriptJupyter Notebook5.7k07060
SelfExplainML/PiML-ToolboxJupyter Notebook7060860
thu-vu92/the_witcher_networkJupyter NotebookPython1020410
avnyadav/machine_learning_projectJupyter NotebookPythonHTML5401800