Polaris000/Polaris000
My github profile readme.
Data Scientist at Tesla | MSCS at NYU | Samsung Research, Tekion | GSoC | CS @ BITS Pilani '21
My github profile readme.
Sample code from my blog posts on Medium and my personal website.
The smallest possible vision-language model, built up in 5 architectural steps and 4 task steps, in the spirit of micrograd / nanoGPT. Everything trains in seconds to minutes on CPU/MPS on a synthetic task: read a tiny (32x64) grayscale image of an equation like 7+5= and answer questions about it.
A series of experiments on the performance of Q-Learning Agents in the Dots and Boxes game.
Lab session codes for the Computer Programming course CS F111
A simple approach to earthquake forecasting
Lab assignments and some practise done for the Computer Architecture course at BITS Pilani
Optimizing health care locations, in partial fulfilment of the Graduate Big Data course at NYU
A script to detect link rot
A collection of snippets and functions that I regularly use in my workflows as a data scientist. These snippets are utility functions that speed up my work, and focus on Pandas, Numpy and visualization libraries.
A study on the naive user-based collaborative filtering algorithm and related improvements on the Movielens dataset.
This repository contains my CHAOSS microtask submissions for gsoc '19
This repository tracks my journey through GSoC 2019.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
A simple demo chatbot that collects a user's contact information. Built using Rasa.
Python scripts to simplify tasks
A fan control system, powered by assembly
This repo is intended for aiding the learning process of first yearites recruited in Coding Club
Implementing RAM with multiple dynamic sets
Lab Solutions for the Machine Learning course at BITS Pilani
Working Group focused on Growth-Maturity-Decline metrics and software
Basic machine learning algos, like kNN Classifiers and regression
:memo: An awesome Data Science repository to learn and apply for real world problems.
A few simple practise apps for the Java Programming Test