The aim of this project is to find the total number of buildings, damaged buildings in a certain area due to a flood event, and total flooded area to create an index to find the severity of the flood.

A ResNet 34-based Algorithm for Robust Plant Disease Detection with 99.2% Accuracy Across 39 Different Classes of Plant Leaf Images.

A template to train and deploy your own food models with PyTorch/FastAI. As an example I have built a churros-samosa-classifier.

A repo for all my practice notebooks following fastai v3 deep learning course

Plant Disease Detection Project

🙏 👽 💦 An excuse to use deep learning

Deploy fastai models using render for efficient model serving.

singularity container for fastai-v3

Contains about 600 Images of the ISIC dataset and a ResNet-50 implementation with fast.ai

This repository presents the Implementation of Convolutional Neural Netwoks along with ResNet by using Fast.ai from scratch.

My PyTorch Implemenation of various Deep Learning Research Papers

This is a project on semantic image segmentation using CamVid dataset, implemented through the FastAI framework.

A collection of my Jupyter notebooks and other educational materials, done alongside fast.ai's Practical Deep Learning for Coders (v3) course.

Classifies among three ethnic groups : Indian, African and Chinese ethnicity.

State-of-the-art models

Solution to Facial Expression Recognition Kaggle Challenge (FER 2013)

Used Fastai to detect weed and different classes of seedlings from seedling photos, Resnet50 as the transfer learning model