notes for fast,.ai course in NUS

Transfer learning for dogs vs cats recognition

Handy python code snippets I use in my everyday workflows.

名古屋城なのか、code for lesson 2 of fast.ai v3

An attempt to assist photo editing tasks using Deep Learning.

Image classification on MNIST dataset using deep learning.

Classifies different sports using images

audio classifier trained on UrbanSound8k dataset using fastai

A bird classifying app based on Deep Learning

Project aimed at differentiating between positive and negative reviews using the fastai's ULMFiT implementation method.

This repo is for an AC image classifier, including the data which was scraped by me using selenium + chrome driver.

End-to-end audio with fast.ai

Learn to create AI applications without a PhD with FastAI and PyTorch all #hacktoberfest2021!

Simple flower classifier made with help of fastai and 17flowers dataset

Image classification project building models able to distinguish between many species of flowers, plants and mushrooms found in Denmark.

Classifying mushroom images to their correct species.

Models I made while doing Fast.ai course about deep learning

A DeepLearning model to classify aerial images which can identify multiple (predefined[labelled]) elements in it.

A robust vehicle recognition system capable of classifying 28 different types of vehicles