fmgonzales's Stars
openclimatefix/open-source-quartz-solar-forecast
Open Source Solar Site Level Forecast
great-expectations/great_expectations
Always know what to expect from your data.
mattheworres/hootdraft
Web based fantasy sports draft app
metabase/metabase
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
mindsdb/mindsdb
The platform for building AI from enterprise data
zhouhaoyi/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
aniket-work/AI_Powered_Dev_Search_Engine
AI_Powered_Dev_Search_Engine
DanielOX/Data-Engineering-Workflow-DUCKDB
A Complete Data Engineering Workflow, Data Modelling and Advanced Analytics using Python, DuckDB
slaclab/VADER-Analytics
Visualization and Analytics for Distributed Energy Resources
BTrDB/btrdb-server
Berkeley Tree Database (BTrDB) server
samuelgthorpe/climate-risk-modeling-us
Assessment of warming and drought related risk for each US zipcode
alexvmt/cholera_risk_modeling
Cholera risk modeling using essential climate variables and machine learning
nicolasfauchereau/climate_data_analytics
Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)
opensha/opensha
Primary OpenSHA project
Jenniferz28/Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
winedarksea/AutoTS
Automated Time Series Forecasting
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
NREL/ditto
DiTTo is a Distribution Transformation Tool that aims at providing an open source framework to convert various distribution systems modeling formats.
GridProtectionAlliance/gsf
Grid Solutions Framework
R-ArcGIS/R-Bridge-Tutorial-Notebooks
Jupyter notebooks demonstrating setup and use of the R-ArcGIS bridge. The repo includes datasets required to run the Jupyter notebooks.
IBMDataScience/DSx-Desktop
IBM Data Science Experience Desktop was built for those who want to download and play locally. Analyze, learn, and build with the tools you love, right on your desktop.
giswqs/earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
lakshay-arora/PySpark
8080labs/pyforest
pyforest - feel the bliss of automated imports
timsainb/tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
nasa/LHASA
Landslide Hazard Analysis for Situational Awareness
djgagne/hagelslag
Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.
datadesk/california-fire-zone-analysis
A Los Angeles Times analysis of California buildings within fire hazard zones
GeoscienceAustralia/hazimp
Hazard impact assessment tool