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1. Principles-of-AI-LLMs Principles-of-AI-LLMs Public

   Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-training, alignment), test-time computation, reasoning, safet…

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2. Topics-in-deep-learning Topics-in-deep-learning Public

   Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)

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3. Topics-In-Modern-Statistical-Learning Topics-In-Modern-Statistical-Learning Public

   Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

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4. stat-ml-edu stat-ml-edu Public

   Resources for education in statistics and machine learning: from advanced undergraduate to research level

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5. spatial-data-with-r spatial-data-with-r Public

   Materials for my lecture on Spatial Data Analysis with R

   R 19 31

6. EigenEdge EigenEdge Public

   Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type

   MATLAB 13 6