A deep learning solution using Siamese networks to solve the problem of face verification for an NGO. This was part of a winning solution for a competition held by Mastek. Competition link -

Contrastive Predictive Coding applied to raw audio music data.

In this project new masking strategies are proposed for more competitive MIM-based self-supervised learning. Furthermore, a new loss function, based on contrastive learning, is introduced and achieves improvements over the baseline when used with different masking strategies.

This project aims to build a fashion similarity model using TensorFlow MNIST Datasets and Siamese Network with custom model and contrastive loss. The model can compare two images of clothing items and determine how similar they are.

CLIP Like model fine tuned for the SemEval-2023 Visual-WSD task

Medical Image Similarity Search Using a Siamese Network With a Contrastive Loss

PyTorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

Task Agnostic Unsupervised Learning

SketchZoo is a project that utilizes Siamese neural networks for efficient animal image retrieval. With the power of contrastive and triplet loss functions, SketchZoo accurately matches hand-drawn animal sketches to corresponding images. It also provides a user-friendly GUI interface for convenient image retrieval based on sketches

A deep learning solution using Siamese networks to solve the problem of face verification for an NGO. This was part of a winning solution for a competition held by Mastek. Competition link -

Implemention of Dimensionality reduction by learning an invariant mapping in CVPR2006

Building a speaker identification & verification pipeline for Vietnamese voices 😪

Implementation of Cyclist Pressure Research Paper

Re-implementation of Intriguing Properties of Contrastive Losses paper

Implemented and trained Siamese network for image classification using contrastive loss, triplet loss and regularized cross-entropy loss

COMPSCI 696DS Industry Mentorship Program with Meta Reality Labs: Ambient AI: Multimodal Wearable Sensor Understanding (Experiments in Distilling Knowledge in Cross-Modal Contrastive Learning.)

Contrastive Unlearning

A simple tensorflow implementation of a siamese CNN with contrastive loss