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Automated multistage stroke analysis from brain CT images using a cascade deep learning architecture.
Python
Asynchronous audio denoising microservice based on DeepFilterNet, FastAPI, Celery and Redis
End-to-end machine learning workflow on tabular data, covering data analysis, preprocessing, classical ML, ensemble methods, clustering, hyperparameter tuning, and neural networks.
Jupyter Notebook
Hands-on deep learning project: tensors, CNNs, object detection, segmentation, autoencoders, GANs, RNNs, and architecture and hyperparameter tuning.
Deep learning experiments for three-class stroke classification from brain CT images using DenseNet121, a custom CNN, and LeNet-5.
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