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

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

Deploying FastAI model(Fruit Classifier) on an android and ios app using flutter

My PyTorch Implemenation of various Deep Learning Research Papers

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

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

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

🙏 👽 💦 An excuse to use deep learning

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

Plant Disease Detection Project

Using Fastai to build a Waste management ai. [In progress]

Deploy fastai models using render for efficient model serving.

singularity container for fastai-v3