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Ram Narasimhan's Projects

altair icon altair

Declarative statistical visualization library for Python

anand-carlsen icon anand-carlsen

Some very quick analysis and historical data around chess GMs Vishwanathan Anand (IND) and Magnus Carlsen (NOR)

av-reader icon av-reader

Audio Visual aids for easier comprehension for all ages, all abilities

bayesian_pymc3 icon bayesian_pymc3

Examples and notebooks of using PyMC3 for learning Bayesian Analysis

beautiful-jekyll icon beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

bioresponse icon bioresponse

Benchmarks for Boehringer-Ingelheim's Predicting a Biological Response Competition, hosted by Kaggle

datasets icon datasets

CSV files of public data, ready for use

decrypt icon decrypt

Cryptic Crossword soliver (in Python)

drop7 icon drop7

Attempting to learn and understand Reinforcement Learning through the popular game Drop 7

feeling-responsive icon feeling-responsive

»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.

flashcards icon flashcards

Simple flashcards app demonstrating how to connect to the OpenMinds API.

gallery icon gallery

Visual Portfolio Generator with no extra installation

genuary_2021 icon genuary_2021

Generative Art that is based on daily prompts for the month of January 2021

group_creator icon group_creator

A python utility to make equitable groups of people given a set of attributes about them

hexagons icon hexagons

Utility functions to create and draw Hexagonal tiles on top of Matplotlib

holoviz icon holoviz

High-level tools to simplify visualization in Python (www.holoviz.org).

irt-prediction icon irt-prediction

Attempts to predict if a student will get a question right, given past performance.

jepready icon jepready

A flashcards based App for those preparing for the Jeopardy! Quiz show. Powered by OpenMinds

jupyter-tips icon jupyter-tips

Ipython Notebook, handout for a tutorial on Jupyter Tips and Tricks

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