A template to train and deploy your own food models with PyTorch/FastAI. As an example I have built a churros-samosa-classifier.
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Updated
Jan 11, 2023 - Jupyter Notebook
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
A ResNet 34-based Algorithm for Robust Plant Disease Detection with 99.2% Accuracy Across 39 Different Classes of Plant Leaf Images.
This repository presents the Implementation of Convolutional Neural Netwoks along with ResNet by using Fast.ai from scratch.
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
Using Fastai to build a Waste management ai. [In progress]
Plant Disease Detection Project
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.
Solution to Facial Expression Recognition Kaggle Challenge (FER 2013)
singularity container for fastai-v3
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