adhirajghosh

adhirajghosh

city-biking

City Biking Project - Data Literacy

frequency_determines_performance

Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance"

Mathematics-for-Machine-Learning--Linear-Algebra

The first course of the Mathematics for Machine Learning Specialisation by Imperial College, London.

omr-uda

[TISMIR'23] The official code for implementing Unsupervised Domain Adaptation from "Real world music object recognition"

RPTM_reid

[WACV'23] The official code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"

superpixel

Superpixel based segment generation

triplet_loss

Triplet Loss Optimization for car datasets

ViPE

[EMNLP'23] ViPE: Visualise Pretty-much Everything

vipe_videos

Generating music videos through ViPE and deforum stable diffusion

adhirajghosh/RPTM_reid

[WACV'23] The official code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"

adhirajghosh/city-biking

City Biking Project - Data Literacy

adhirajghosh/omr-uda

[TISMIR'23] The official code for implementing Unsupervised Domain Adaptation from "Real world music object recognition"

adhirajghosh/triplet_loss

Triplet Loss Optimization for car datasets

adhirajghosh/Mathematics-for-Machine-Learning--Linear-Algebra

The first course of the Mathematics for Machine Learning Specialisation by Imperial College, London.

adhirajghosh/superpixel

Superpixel based segment generation

adhirajghosh/adhirajghosh

adhirajghosh/adhirajghosh.github.io

adhirajghosh/cv-problems

adhirajghosh/frequency_determines_performance

Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance"

adhirajghosh/irony-bengali-baseline

This is the project page of the dataset for the binary and multi-label classification of irony in Bengali Tweets.

adhirajghosh/ViPE

[EMNLP'23] ViPE: Visualise Pretty-much Everything

adhirajghosh/vipe_videos

Generating music videos through ViPE and deforum stable diffusion

adhirajghosh/face_mask_detector

Object Detection Model to accurately detect whether a person in an image is wearing a face mask or not.

adhirajghosh/FaceMaskClassification

Training a neural net to classify whether a person is wearing a face mask or not.

adhirajghosh/hello-world

First repository on GitHub.

adhirajghosh/instance_segmentation

This project deals with the task of implementing instance segmentation for a given dataset using Mask-RCNN architecture.

adhirajghosh/Neural-Networks-and-Deep-Learning

This repository contains the programming assignments of the popular Coursera Course, "Neural Networks and Deep Learning" by deeplearning.ai. This repository contains the notebooks used during the assignement as well as the course certificate.

adhirajghosh/omr-prototype_factory

Tool to render modified .png files from .svg encoded graphics for music notes. Helpful in post-processing for object detection in Optical Music Recognition.

adhirajghosh/one-class-learner

adhirajghosh/Predict-Future-Sales-Kaggle-Competition

This repository contains a working LSTM model for the Kaggle Competition to Predict Future Sales of a Russian Software firm.

adhirajghosh/Python-for-Data-Science

Code for assignements and certificate of Python for Data Science by IBM on Coursera.

adhirajghosh/s2anet

Official code of the paper "Align Deep Features for Oriented Object Detection"