ambssharma/fastai-projects

Jupyter notebooks that use the Fastai library

fastai-projects

Jupyter notebooks that use the Fastai library

fastai v1.0

Vendedor IA | Ajudando vendedores de Brasal Veículos (text in Portuguese)

O Hackathon Brasal/PCTec-UnB 2019 foi uma maratona de dados (dias 9 e 10 de maio de 2019), que reuniu estudantes, profissionais e comunidade, com o desafio de em dois dias, realizaram um projeto de Bussiness Intelligence para um cliente real: Brasal Veículos. Aconteceu no CDT da Universidade de Brasília (UnB) no Brasil. Nesse contexto, minha equipe desenvolveu o projeto "Vendedor IA" (VIA), um conjunto de modelos de Inteligência Artificial (IA) usando o Deep Learning cujo princípio é descrito nos 2 jupyter notebooks que foram criados:

1. Data clean (vendas_veiculos_brasal_data_clean.ipynb): é o notebook de preparação da tabela de dados de vendas para treinar os modelos do VIA.
2. Regressão (vendedor_IA_vendas_veiculos_brasal_REGRESSAO.ipynb): é o notebook de treinamento do modelo que fornece o orçamento que o cliente está disposto a gastar na compra de um veículo.

MURA abnormality detection

The objective of the jupyter notebook MURA | Abnormality detection is to show how the fastai v1 techniques and code allow to get a top-level classifier in the world of health. [ NEW ] We managed to increase our kappa score in this notebook (part 2).

ImageNet Classifier Web App

It is an images classifier that use the Deep Learning model resnet (the resnet50 version) that won the ImageNet competition in 2015 (ILSVRC2015). It classifies an image into 1000 categories.

Pretrained ImageNet Classifier by fastai v1

The objective of the jupyter notebook pretrained-imagenet-classifier-fastai-v1.ipynb is to use fastai v1 instead of Pytorch code in order to classify images into 1000 classes by using an ImageNet winner model.

Data Augmentation by fastai v1

The jupyter notebook data-augmentation-by-fastai-v1.ipynb presents the code to apply transformations on images with fastai v1.

fastai version BEFORE v1.0

Lesson 1 (part 1) : CatsDogs, the quick way

The jupyter notebook lesson1-quick.ipynb is an exercise that was proposed on 17/04/2018 & 21/04/2018 to the participants of the Deep Learning study group of Brasilia (Brazil). Link to the thread : http://forums.fast.ai/t/deep-learning-brasilia-revisao-licoes-1-2-3-e-4/14993

Lesson 1 (part 1) : DogBreeds

The jupyter notebook lesson1-DogBreed.ipynb is an exercise that was proposed on 17/04/2018 & 21/04/2018 to the participants of the Deep Learning study group of Brasilia (Brazil). Link to the thread : http://forums.fast.ai/t/deep-learning-brasilia-revisao-licoes-1-2-3-e-4/14993

How to make predictions on the test set when it was not initially given to the data object

https://github.com/piegu/fastai-projects/blob/master/howto_make_predictions_on_test_set

Mastercard or Visa ? Image classification with Transfer Learning and Fastai

https://github.com/piegu/fastai-projects/blob/master/mastercard_visa_classifier_fastai_resnet34_PierreGuillou_16july2018.ipynb