Some experiments with object detection in PyTorch
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Updated
Sep 2, 2020 - Jupyter Notebook
Some experiments with object detection in PyTorch
This repo contains all the notebooks mentioned in blog.
A template to train and deploy your own food models with PyTorch/FastAI. As an example I have built a churros-samosa-classifier.
A Deep Convolutional Neural Network for Diabetic Retinopathy classification
collection of fastai resources: blog posts, twitter threads etc.
🐬 🐋 fastai course v3 notes
A deep-learning based file renamer
Projects inspired by the awesome fast.ai MOOC
KIIT AI Society and SoAI
Build a pokemon classifier who knows one day you may beat Professor Oak. Model Deployed at:
Exercises & Projects from FastAI course on Computational Linear Algebra
This repository is a hands-on, end-to-end deployment playbook showing how to take a trained fastai model from a local notebook and deploy it as a live, public application on Hugging Face Spaces using Gradio.
This workflow will help you for the deployment of your developed model on Kubernetes for scaling up your project.
To associate your repository with the fastai-tutorials topic, visit your repo's landing page and select "manage topics."