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, safety and robustness (jailbreaking, oversight, uncertainty), representations, interpretability (circuits), etc.
☆45Jun 14, 2025Updated 10 months ago
Alternatives and similar repositories for Principles-of-AI-LLMs
Users that are interested in Principles-of-AI-LLMs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆179May 17, 2024Updated last year
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Apr 9, 2024Updated 2 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆109May 19, 2024Updated last year
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Jan 27, 2023Updated 3 years ago
- Conformal Locally Valid interval-Estimates for Regression☆17Sep 27, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆16Oct 2, 2022Updated 3 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆96Dec 29, 2022Updated 3 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆19Jun 12, 2020Updated 5 years ago
- This github contains the implementation of the method proposed in MDGNN_BS paper☆12May 9, 2024Updated last year
- Orthogonal Quantile Regression☆11Oct 21, 2021Updated 4 years ago
- A collection of simple tutorials for using Emmental.☆19Jun 12, 2023Updated 2 years ago
- ☆25Oct 12, 2021Updated 4 years ago
- ☆26Aug 7, 2024Updated last year
- Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course☆11Mar 3, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official implementation for KDD25 paper "GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning"☆22Jul 10, 2025Updated 9 months ago
- ☆32Feb 13, 2024Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆24Mar 26, 2022Updated 4 years ago
- A thorough paper list for vision transformer and attention blocks.☆11Mar 10, 2021Updated 5 years ago
- Causal inference for qualitative outcomes☆12Apr 2, 2025Updated last year
- A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.☆20Sep 17, 2025Updated 7 months ago
- ☆10Jul 29, 2020Updated 5 years ago
- Official Tensorflow Code for the paper "Overcomplete Deep Subspace Clustering Networks" - WACV 2021☆13Nov 23, 2020Updated 5 years ago
- Online Time Series Anomaly Detectors☆29Dec 8, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆10Feb 2, 2023Updated 3 years ago
- ☆16Jul 29, 2025Updated 8 months ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆43Jan 18, 2026Updated 3 months ago
- ☆25Oct 9, 2023Updated 2 years ago
- LibCP -- A Library for Conformal Prediction☆13Feb 26, 2015Updated 11 years ago
- ☆10Oct 11, 2022Updated 3 years ago
- Code for "Disentangling images with Lie group transformations and sparse coding" (2023).☆13May 24, 2021Updated 4 years ago
- Sentiment Analysis On Financial News Headlines With BERT & FinBERT☆13Feb 21, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆13Jul 2, 2024Updated last year
- ABM course in MACSS program taught Winter 2023☆12May 9, 2024Updated last year
- ☆16Sep 5, 2020Updated 5 years ago
- ☆11Nov 8, 2023Updated 2 years ago
- ☆15May 30, 2024Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆87Sep 27, 2023Updated 2 years ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23May 21, 2019Updated 6 years ago