adirtha's Projects
🎮 Terminal version of the game "2048" written in C++ 11
Portfolio Readme
A simple collection of algorithms in various languages.
A comprehensive study on different architectures of neural network models to handle sequence input and output data (seq2seq).
A multi modal pipeline to generate three tones of reviews [harsh, constructive, kind] for a given artwork using fine-tuned Flan-T5 models.
Implementation of 2 pass assembler using C language.
A list of awesome beginners-friendly projects.
A BERT multilabel classification model built on augmented text data on an imbalanced dataset.
Text Analysis done on a business text dataset using KeyBERT and BERTopic
🤓 Build your own (insert technology here)
Data and Visual Analysis on several different communities generated using Louvain Algorithm in Neo4j on the dblp dataset.
A Literature Review using Text Mining methods on a subset of academic research papers published on COVID-19.
My solutions to Udacity's Parallel Programming course (CS 344)
Implementation of data model at http://www.databaseanswers.org/data_models/clients_services_and_fees/index.htm as a single page app using AngularJS 1.6
Cheat Sheets
DBScan implementation on chameleon datasets in python
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Build cross platform desktop apps with JavaScript, HTML, and CSS
🚀 Yet another project to get beginners contributing to open source 🔰
A collection of commands needed while working on git
A hack which removes the hassle of typing the password for superuser access by using face detection.
A Question Answering chatbot powered by GPT-3 and sentence-transformers that can answer questions based on your own data
Intelligent search engine/QA module that uses GPT models to provide accurate, relevant & recent answers from Google News/Web, & can directly answer user queries using GPT's knowledge.
An API that can search for words or terms in a document by use of an inverted index. Deployed on heroku.
ID3 tags reader in JavaScript (ID3v1, ID3v2 and AAC)
This python implementation of K-means clustering uses either of Minkowski distance, Pearson's Correlation or Spearman's Correlation while determining the cluster for each data object.