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