supervised

Fake News Detection using Machine Learning

Official implementation of SuperSimpleNet [ICPR 2024, JIMS 2025]

Deep Learning - NLP - Depression Analysis

PyTorch implementation of "Contextual Contrastive Loss" (CCL)

Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"

A large collection of general python functions and classes that I use in my daily work

An open-source hyperspectral unmixing python package

MLpronto is a tool for rapid, robust, and reproducible machine learning. No ML background is needed whatsoever.

Flipper: Reproducing the FLIP protein benchmark results.

Deploying the heart risk level predicting Regression model in a web application using Flask 💮

A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS

Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation

Python-based toolkit for building and evaluating a transformer-based FAQ retrieval system

A python implementation of the Twin Labeled LDA

A few machine learning projects of mine.

Deep Learning sample code

A 'supervised' parser for Google Scholar