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Time Series package for fastai v2
Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'
Training a model to recognize Sign Language then running inference on the Webcam
Notebooks for Fastai Viusal Guide
A disaster response solution that helps allocate resources to where they're needed.
A fastai2 based Covid-19 classifier
Starter Pack for creating fast responsive Web App for FastAI Version 2 Vision models
A bunch of objects (mini-lib) for interpretation tabular models in fastai2 with examples
X-ray Classification Model for Left or Right Elbow Anteroposterior Projections
Text Classification Using FastAI V2
A deep learning classifier which identifies loose grocery items.
Learn to create AI applications without a PhD with FastAI and PyTorch all #hacktoberfest2021!
🤝 Implementing BANs with Teacher Confidence Weighting and Dark Knowledge Permutations from scratch, and testing said implementations between DenseNet-121 teachers and ResNet-18 student ensembles on the ImageWang Dataset (along with some MLP MNIST tests).
Clothing Outfit Detection model built using Neural Networks like ResNet and FastAI.
Some utililties to help you using fastai2 to train huggingface transformers
An image classifier that predicts members of the genus Panthera family. Trained using FastAI v2 API and deployed on StreamLit.
Dokumentacja badań dotyczących wartości hiperparametrów dla zadania różnicowania między twarzami kobiet i mężczyzn z wykorzystaniem Gender Classification Dataset (Chauhan, 2021).
An in-Notebook visualiser for a FastAI vision learner using get_preds() from a test dataset. An example of its usage is on this site.
Built and deployed a deep learning model with fastai2, binder, voila
Fine-tuned ResNet50 using Fast.ai on the image dataset of 525 different bird species.
Source code for the project OOD Detection of COVID-19 From Chest X-Ray Images, written as part of the KTH course DD2424, Deep Learning in Data Science:
Brain MRI segmentation
Currently only capable of classifying oak, beech, elm and ash leaves
train an audio detector on badminton shots, using fastai framework