Mark Goldstein's repositories
Pytorch-Sketch-RNN
a pytorch implementation of https://arxiv.org/abs/1704.03477
pytorch-flows
PyTorch implementations of algorithms for density estimation
pytorch-ntm
Neural Turing Machines (NTM) - PyTorch Implementation
semiparametrics
reading semiparametrics
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mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
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normalizing-flows
PyTorch implementation of normalizing flow models
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REM
Reweighted Expectation Maximization
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score_flow
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
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smoothing-adversarial
Code replicating the results of our "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers" paper
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