prakrutkansara Goto Github PK
Name: Prakrut Kansara
Type: User
Bio: Research Scientist in the Department of Earth and Planetary Sciences at the Johns Hopkins University
Location: Baltimore, Maryland
Blog: www.prakrutkansara.com
Name: Prakrut Kansara
Type: User
Bio: Research Scientist in the Department of Earth and Planetary Sciences at the Johns Hopkins University
Location: Baltimore, Maryland
Blog: www.prakrutkansara.com
Repository to teach git and GitHub
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
Code and documentation for the AMS Short Course: Machine Learning in Python for Environmental Science Problems
A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
waveformlidar processing with uncertainty estimation using Bayesian
optimized parameters of deep learning using Bayesian optimization
Bayesian, Uncertainty, Neutral Networks, LSTM, time series
A Python implementation of global optimization with gaussian processes.
Data Science Using Python
Notebooks for Programmatic Access to Daymet V4 Data and Geospatial Analysis in Python and ArcGIS Pro
Fast, accurate watershed delineation using hybrid vector- and raster-based methods and data from MERIT-Hydro
Ensemble models, machine learning, deep learning, optimization
TensorFlow examples
Initial public release of code, data, and model weights for FourCastNet
Cartographic rendering and mesh analytics powered by PyVista
GeoWombat: Utilities for geospatial data
The Generic Mapping Tools
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
Hierarchical Climate Regionalization
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Land Information System Framework
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
UVA Research computing workshop for machine learning with Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.