Discover timdavidlee/DistillingTree Open Source project

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Created almost 7 years ago
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timdavidlee

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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%

learning-deep

All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1

Jupyter Notebook

fastai_dl2019p2

Deep Learning Part 2, 2019 edition - transcriptions, screenshots and notebooks

Jupyter Notebook

fast_dl2

fast.ai dl2 notes, Topics: Object Detection, Language Models, Image Segmentation

Jupyter Notebook

fastai2022p2

Lecture notes + setup stuff for 2022's fastai part 2 course, stable diffusion

Shell

docker-fastai

Docker images for fastai library

Dockerfile

EmbeddingCatNet

Example of Training Embeddings for Categorical Variables. Use NN to create N-dim embeddings, then use vectors for Gradient Boosting

Jupyter Notebook

ds-interview-prep

interview questions & collection of materials

Jupyter Notebook

layeredlearning

Collection of my tutorials on Deep Learning Topics

Jupyter Notebook

sf-parking-ml

Designing a parking prediction ML model based on sparse manual observational data

Jupyter Notebook

windy-potato

a collection of python + dataframe beginner lessons

timdavidlee/DistillingTree

timdavidlee

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