Atanu Guin's repositories

U-Net-based-CAMUS-Segmentation

This repo is a part of my MTech Project at IIT Jodhpur. This U-Net model is used to do segmentation on CAMUS dataset.

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practical-mlops-book

[Book-2021] Practical MLOps O'Reilly Book

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AI1_Coursework

Assignments done for Artificial Intelligence 1 Course

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ArabicCompetitiveProgramming

The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.

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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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Computer_Vision_Coursework

Assignments done in Computer Vision course

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credit-risk-classification

Demo Project for credit risk classification

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dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

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dynamic

Stough's fork of EchoNet-Dynamic for assessing cardiac function in echocardiogram videos.

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flask-docker

This repository contains files that illustrates how to build a Flask app, containerize it with Docker and deploy to Heroku.

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free-programming-books

:books: Freely available programming books

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hello-world

getting started

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Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

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Interview-Bit

Solutions to problems on Interview Bit

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MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

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ML1_Coursework

Assignments done for Machine Learning 1 course

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ML2_Coursework

Assignments done for Machine Learning 2 Course.

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NLP_Coursework

Assignments done for Natural Language Processing course

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pyImageSearch

A source of pyImageSearch university courses

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PyImageSearch-CV-DL-CrashCourse

Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning

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python_website

Flask based Portfolio website for CI/CD Testing

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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pytorch-unet-1

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

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SegLoss

A collection of loss functions for medical image segmentation

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