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Tim Lee's Projects

cboost icon cboost

Applying gradient boosting to a series of thin Conv2D networks

distillingtree icon distillingtree

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%

embeddingcatnet icon embeddingcatnet

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

fast_dl1 icon fast_dl1

fast.ai deep learning 1 notes ( new home for revised notes) Topics: Image Recognition, CNNs, ResNet, RNNs

fast_dl2 icon fast_dl2

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

fastai2022p2 icon fastai2022p2

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

fastai_dl2019p2 icon fastai_dl2019p2

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

learning-deep icon learning-deep

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

lethal-toothpaste icon lethal-toothpaste

A repo for making psuedo-realistic transaction data for ML and Analysis teaching purposes

ml-cnn-ed icon ml-cnn-ed

Testing + implementation of "Convolution Embedding for edit distance"

multivarseq2seq icon multivarseq2seq

multivariate sequence to sequence models in keras with proper inference

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