Brain MRI segmentation
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Updated
Dec 18, 2020 - Jupyter Notebook
Brain MRI segmentation
Currently only capable of classifying oak, beech, elm and ash leaves
Baseline implementations for various Deep Learning Applications using fastai2
train an audio detector on badminton shots, using fastai framework
Dokumentacja badań dotyczących wartości hiperparametrów dla zadania różnicowania między twarzami kobiet i mężczyzn z wykorzystaniem Gender Classification Dataset (Chauhan, 2021).
Fine-tuned ResNet50 using Fast.ai on the image dataset of 525 different bird species.
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.
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:
Built and deployed a deep learning model with fastai2, binder, voila
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.
crystal structure analysis with RHEED and ML
Text Classification Using FastAI V2
🤝 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).
A deep learning classifier which identifies loose grocery items.
X-ray Classification Model for Left or Right Elbow Anteroposterior Projections
Clothing Outfit Detection model built using Neural Networks like ResNet and FastAI.
Learn to create AI applications without a PhD with FastAI and PyTorch all #hacktoberfest2021!
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