Name: Sayak Khatua
Type: User
Company: School of Public Policy, Oregon State University
Bio: Research Transparency, Replication, Push Button Replication, Open Science
Location: Corvallis, USA
Blog: sayakkhatua.github.io
Sayak Khatua's Projects
An HTML+CSS template for making more accessible posters
This is Andrew NG Coursera Handwritten Notes.
Repo for Yale Applied Empirical Methods PHD Course
A PhD course in Applied Econometrics and Panel Data
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
π Awesome lists about all kinds of interesting topics
A curated list of awesome big data frameworks, ressources and other awesomeness.
A curated list of awesome work on causal inference, particularly in machine learning.
Resources related to causality
An index of algorithms for learning causality with data
A curated collection of links for economists
Long list of geospatial tools and resources
:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
πAwesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
A curated list of awesome mathematics resources
A curated list of awesome network analysis resources.
A topic-centric list of HQ open datasets.
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
List of datasets, codes, and contests related to remote sensing change detection
π°οΈ List of satellite image training datasets with annotations for computer vision and deep learning
A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
Manual of best practices in research transparency
My Cambridge Lecture Notes
Curated research at the intersection of causal inference and natural language processing.
Working repository for Causal Tree and extensions
RStudio Cheat Sheets
Complete-Life-Cycle-of-a-Data-Science-Project
Course Files for Complete Python 3 Bootcamp Course on Udemy