MOOC Courses
- Machine Learning, Coursera: Solutions to the problems posed in the Coursera course by Dr. Andrew Ng. [certificate] [github]
ML Projects
[P8]
BetaFold: A Lightweight Protein Prediction Architecture. ECE 695, Purdue University, Spring 2022. [pdf] [slides] [code]
[P7]
Customer Conversion Prediction and Marketing Assistance using NLP, Connected Components, and CatBoost. Purdue University, Spring 2021. [pdf]
[P6]
Variational Auto-Encoder for Multimodal Representation Learning. ECE 570, Purdue University, Fall 2021. [pdf] [slides] [code]
[P5]
Kalman Filter with Neural Networks, and Variational Autoencoders with Normalizing Flows. ECE 695, Purdue University, Spring 2021. [slides] [code]
[P4]
Medical Contextual Highlighter: Highlight Medical Concepts Using LSTM-Ngram Network. Won 2nd Prize at Practo Open Hackathon. [github]
[P3]
ICD-10 Data Scraper: Code to Scrape Data from http://icd10data.com/. [github]
[P2]
Dockerized Environment for ML: Dockerized implementation to setup python ML environment with support for Torch, Tensorflow and other commonly used libraries. [github]
[P1]
IndiaHacks 2017: Solution to problems posed at India Hacks 2017 organized by Hackerearth. Secured 46th All-India rank. [github]
Other Projects
[O5]
Tesseract 4 API: RESTful implementation of Tesseract 4 functionalities using Flask. [github]
[O4]
Serverless on Docker: Dockerized implementation of serverless functions on AWS. [github]
[O3]
Github Pages V2: Dockerized implementation of github pages with Medium flavor. [github]
[O2]
Github Pages V1: Dockerized implementation of light github pages from scratch. [github]
[O1]
Flask Application Starter: Flask application using docker running on Uwsgi. [github]