krishnapsrinivasan Goto Github PK
Name: Krishna Prasad Srinivasan
Type: User
Company: Harvard University
Bio: Research Fellow
Location: Cambridge, MA
Name: Krishna Prasad Srinivasan
Type: User
Company: Harvard University
Bio: Research Fellow
Location: Cambridge, MA
A curated list of awesome network analysis resources.
A curated list of awesome Python frameworks, libraries and software
Uplift modeling and causal inference with machine learning algorithms
R package to retrieve Census data and metadata via API
RStudio Cheat Sheets
Simple tool to split COCO annotations into train/test datasets.
Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.
Covid-19-Israel data repository
Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development
Stata code to produce Demographic and Health Survey Indicators
Dime Analytics R Training
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai
đAn interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Highlight points and lines in ggplot2
htmlwidget to make 'ggplot' graphics interactive
:exclamation: This is a read-only mirror of the CRAN R package repository. ggstatsplot â 'ggplot2' Based Plots with Statistical Details. Homepage: https://indrajeetpatil.github.io/ggstatsplot/, https://github.com/IndrajeetPatil/ggstatsplot Report bugs for this package: https://github.com/IndrajeetPatil/ggstatsplot/issues
Future
Stata commands designed for Impact Evaluations in particular, but also data work in general
Personal Website
Compilation of a series of resources, readings, and tutorials for getting started in R. This workshop was designed for undergraduate research interns in our lab to complete over the course of 8 weeks. No prior R experience was assumed.
A script to build a list of cities in Japan in CSV
Stata/Python code for fuzzy matching of latin script location names in Hindi.
Beautiful, customizable, publication-ready model summaries in R.
Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")
Code samples used on cloud.google.com
Text scaling and classification models for quanteda
R Interface to D3 Visualizations
Quickly retrieve (just the) R code from popular R websites, including github, kaggle, blogdown sites, and datacamp.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
đ 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. đđđ
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 â¤ď¸ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.