VirajBagal

APTOS-Diabetic-Retinopathy

My first Deep Learning Competition. Involves classifying images of eyes in one the categories of Diabetic Retinopathy. It is multiclass classification problem.

ChestXRay14-Reimplementation

This is an attempt to reproduce the results of the paper: Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain, ICVGIP 2018, by Ekagra et al. Process is: 1. Train Stage 1. 2. Train Stage 2. 3. Train stage 3 using weights from stage 1 and stage 2.

Credit-Card-Fraud-Transaction

EDA + TSNE +SMOTE + ENSEMBLING

cyclegan

Simple Implementation of CycleGAN

FMix-Paper-Implementation

In this repo, I have implemented Fmix, Cutmix and Mixup on the Fashion MNIST dataset using PreAct ResNet18. This is an attempt to reprdouce the results from this paper: https://arxiv.org/abs/2002.12047

IEEE-Fraud

IEEE Fraud Detection was a competition on Kaggle. I was competing in it. This is how I went on to analyse the data. The data was highly imbalanced .

Keyword-Spotting

In this project, we do an ablation study of existing audio processing models for 'keyword spotting' using the Speech Commands dataset. The dataset has 65,000 1 second long utterances of 30 short words in English done by thousands of people.

ML-Explainability-and-EDA

Heart Disease dataset : EDA, SHAP Values and Partial Dependence Plots

MMBERT

MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

Traditional-vs-Neural-Time-Series-Modeling

Comparing traditional models against LSTM and XGBoost

VirajBagal/MMBERT

MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

VirajBagal/FMix-Paper-Implementation

In this repo, I have implemented Fmix, Cutmix and Mixup on the Fashion MNIST dataset using PreAct ResNet18. This is an attempt to reprdouce the results from this paper: https://arxiv.org/abs/2002.12047

VirajBagal/APTOS-Diabetic-Retinopathy

My first Deep Learning Competition. Involves classifying images of eyes in one the categories of Diabetic Retinopathy. It is multiclass classification problem.

VirajBagal/ChestXRay14-Reimplementation

This is an attempt to reproduce the results of the paper: Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain, ICVGIP 2018, by Ekagra et al. Process is: 1. Train Stage 1. 2. Train Stage 2. 3. Train stage 3 using weights from stage 1 and stage 2.

VirajBagal/cyclegan

Simple Implementation of CycleGAN

VirajBagal/Keyword-Spotting

In this project, we do an ablation study of existing audio processing models for 'keyword spotting' using the Speech Commands dataset. The dataset has 65,000 1 second long utterances of 30 short words in English done by thousands of people.

VirajBagal/product-matching-shopee

This repo contains the code for product matching problem statement. Given image and textual description of different products, the task is to match similar products with each other. Here, I took a semi-supervised approach because the test set apparently contained mostly unseen images and their text descriptions.

VirajBagal/albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

VirajBagal/commclassroomOP

VirajBagal/enterpret_summarizer

This is an assignment by Enterpret for Senior MLE

VirajBagal/Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

VirajBagal/getting-started-with-git-and-github

Explaining Git and GitHub.

VirajBagal/hypmix-emnlp

Code for HypMix EMNLP 2021 (main)

VirajBagal/image_cls_app_with_mongo_postgress_minio_mlflow

VirajBagal/issue-tracker

VirajBagal/Lepton-Identification-Using-CNN

Objective was to use CNN for classifying whether the electron is real or fake. Real electron has W,Z or other gauge bosons as its mother. Fake Electron comes from QCD processes. Images of Calotowers within dR=0.4 of electron were used as input to images.

VirajBagal/lightweight-gan

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

VirajBagal/mljar-supervised

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

VirajBagal/MLOps-Basics

VirajBagal/Multi-Object-Tracking

In this project, I compare two SOTA Multi-Object Tracking (MOT) algorithms: (a) Yolov5+DeepSORT and (b) FairMOT

VirajBagal/Object_detection

Implementing algorithms for wheat head detection

VirajBagal/polyglotpal

Fun and effective way of learning new languages using AI

VirajBagal/pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

VirajBagal/pytorch-template

PyTorch deep learning projects made easy.

VirajBagal/sentiment_app

In the repo, we deploy simple sentiment analysis model to Heroku

VirajBagal/textassistant

AI that can quickly summarize and allow Q&A on PDFs, Docs, Images and Youtube videos.

VirajBagal/VirajBagal.github.io

VirajBagal/whatsapp-web-view

VirajBagal/Yolov5_DeepSort_Pytorch

Real-time multi-object tracker using YOLO v5 and deep sort

VirajBagal/yolov8_tracking