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stat-ml-edu Public
Resources for education in statistics and machine learning: from advanced undergraduate to research level
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Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
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Hadamard Public
Robust Inference Under Heteroskedasticity via the Hadamard Estimator
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Topics-in-deep-learning Public
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
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minGPT Public
Forked from karpathy/minGPTA minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Python MIT License UpdatedNov 5, 2022 -
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ideal-working-group Public
Working group for IDEAL special semester on the foundations of deep learning
1 UpdatedOct 4, 2020 -
stat-431-project Public
Stat 431 final project - Stats for covid-19
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CurveFit Public
Forked from ihmeuw-msca/CurveFitGeneric curve fitting package with nonlinear mixed effects model
Python UpdatedApr 1, 2020 -
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FACT Public
FACT method for multiple testing
MATLAB GNU General Public License v3.0 UpdatedOct 4, 2019 -
high-dim-risk-experiments Public
Experiments with high-dimensional predictive risk
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diagonally_reduced Public
Experiments from the paper "PCA from noisy, linearly reduced data: the diagonal case"
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contextualbandits Public
Forked from david-cortes/contextualbanditsPython implementations of contextual bandits algorithms
Python GNU General Public License v3.0 UpdatedNov 13, 2018 -
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deep-learning-with-r-notebooks Public
Forked from fchollet/deep-learning-with-python-notebooksR notebooks for the code samples of the book "Deep Learning with R"
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EigenEdge Public
Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type
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bandits Public
Forked from bgalbraith/banditsPython library for Multi-Armed Bandits
Jupyter Notebook Apache License 2.0 UpdatedJul 9, 2017 -
dld Public
Forked from monajemi/dldTheories of Deep Learning
CSS BSD 3-Clause "New" or "Revised" License UpdatedJun 25, 2017 -
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spatial-data-with-r Public
Materials for my lecture on Spatial Data Analysis with R
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