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Neeraj Krishna's Projects

autocomplete icon autocomplete

Simple Autocomplete for the input element implemented using vanilla javascript. Live demo is shown.

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

biological-environment-simulaton icon biological-environment-simulaton

This project aims to simulate and visualize a biological environment inside a cell (E.coli in this case) and follows a case study of restriction digestion of DNA by restriction enzyme.

data-structures-and-algorithms-in-python icon data-structures-and-algorithms-in-python

This repo includes implementations of various Data Structures and Algorithms like DFS, BFS, Binary Trees, Stacks, Queues, Linked List, Graphs, Dynamic Programming etc in Python

fullstackopen icon fullstackopen

My Notes, Exercise Solutions from the course FullStackOpen 2020

genre-prediction-multi-label-classification icon genre-prediction-multi-label-classification

The aim of this project is to predict genres of a movie based on it's plot and the movie name. This is a multi-label classification problem, and the dataset used is CMU movie summary corpus which can be found here http://www.cs.cmu.edu/~ark/personas/

gitignore icon gitignore

A collection of useful .gitignore templates

lexical-401 icon lexical-401

An unauthorized library of Lexical nodes, plugins, and more

linear-algebra icon linear-algebra

Implementations, Expts, Notes, and problems of various linear algebra concepts from many resources but mainly from the book "No bu@@@it guide to linear algebra" by Ivan Savov

mediapipe icon mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

medium-ai icon medium-ai

An open-source, AI-powered text editor inspired by medium.com.

model-detections-to-pascal-voc icon model-detections-to-pascal-voc

This project helps to semi-automate the labelling process for object detection model by converting the raw detections made by the pre-trained object detection model to xml files in PASCAL VOC format. The xml files and the images can the be loaded into an annotation tool. The user then has to just tweak the bounding boxes and save making the process easier.

pandas-pycon-notes icon pandas-pycon-notes

This is notes I've written by following the video on pandas by PyCon by Brandon Rhodes.

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