Notebooks and code related to data, machine learning and neural networks.
This is an archive of work I've created or adapted in the process of studying techniques and tools for data analysis, machine learning and neural network models applied to tasks such as classification, prediction, and natural language processing.
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- Binary image classifier with NumPy (from a recitation under the MITx 686x Machine Learning with Python course)
- Hugging Face image caption and text-to-image models
- PyTorch CNN on CIFAR-10 dataset
- TensorFlow ANN on fashion MNIST
- TensorFlow ANN on Titanic dataset
- TensorFlow CNN on CIFAR-10 dataset
- TensorFlow CNN on flowers dataset
- TensorFlow CNN on malaria dataset
- TensorFlow CNN on MNIST dataset
- TensorFlow image classification