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learning-deep
All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1fastai_dl2019p2
Deep Learning Part 2, 2019 edition - transcriptions, screenshots and notebooksfast_dl2
fast.ai dl2 notes, Topics: Object Detection, Language Models, Image Segmentationfastai2022p2
Lecture notes + setup stuff for 2022's fastai part 2 course, stable diffusiondocker-fastai
Docker images for fastai libraryEmbeddingCatNet
Example of Training Embeddings for Categorical Variables. Use NN to create N-dim embeddings, then use vectors for Gradient BoostingDistillingTree
Implementation of paper on distilling Neural Networks into decision trees. MNIST images classified by a decision tree of 1-layer NN per node. Accuracy up to 95%ds-interview-prep
interview questions & collection of materialslayeredlearning
Collection of my tutorials on Deep Learning Topicswindy-potato
a collection of python + dataframe beginner lessonsLove Open Source and this site? Check out how you can help us