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Name: Kiran Dev Pandey
Type: User
Bio: Sr. Data Scientist | Economist | Statistician
Location: Potomac, MD
Name: Kiran Dev Pandey
Type: User
Bio: Sr. Data Scientist | Economist | Statistician
Location: Potomac, MD
Interpretability and explainability of data and machine learning models
Cryosphere hydrology modeling package written in Matlab. Please contact Thomas Mosier with any questions, for example to obtain inputs to run a test case. The initial release of this modeling package is described in Mosier, Thomas M., David F. Hill, and Kendra V. Sharp. “How Much Cryosphere Model Complexity Is Just Right? Exploration Using the Conceptual Cryrosphere Hydrology Framework.” The Cryosphere Discussions (2016): 1–33. doi: 10.5194/tc-2016-17
Data and scripts related to PEC's coverage of the Covid-19 Pandemic
An ongoing repository of data on coronavirus cases and deaths in the U.S.
Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/
Econometrics and data manipulation functions.
The Global Climate Data downscaling package, written in Matlab. Requires 'shared_subroutines_Matlab' repository to execute. The GCD package is described in: (1) Mosier, T. M., Hill, D. F., & Sharp, K. V. (2014). 30-Arcsecond monthly climate surfaces with global land coverage. International Journal of Climatology, 34(7), 2175–2188 and (2) Mosier, T. M., Hill, D. F., & Sharp, K. V. (2017). Update to the Global Climate Data package: analysis of empirical bias correction methods in the context of producing very high resolution climate projections. International Journal of Climatology. It also contains methodological extensions not described in the aforementioned manuscripts.
GEO Mountains notebook-based tutorial for Efficient zonal statistics over complex geometries using PostGIS
this repository accompanies my forthcoming book "Grokking Deep Learning"
ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
Deep Learning for humans
Repository with code and data associated with the paper: P2P Loan acceptance and default prediction with Artificial Intelligence
Project Template description
fork from PurpleBooth/README-Template.md
Functions written in Matlab that are required for other Matlab repositories written by me.
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.