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.
☆48Jun 14, 2025Updated last year
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 2 years ago
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆14Apr 9, 2024Updated 2 years ago
- Conformal Locally Valid interval-Estimates for Regression☆17Sep 27, 2024Updated last year
- Calibration Framework for Machine Learning and Deep Learning☆17Jul 18, 2025Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆78Nov 7, 2024Updated last year
- 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 repo for "Imagination-Augmented Natural Language Understanding", NAACL 2022.☆17Aug 30, 2022Updated 3 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆74Nov 17, 2024Updated last year
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Dec 29, 2022Updated 3 years ago
- 🐟 CODS - Conformal Object Detection and Segmentation☆22Jul 24, 2026Updated 3 weeks ago
- Course page for KU course on text data and deep learning https://kurser.ku.dk/course/a%c3%98kk08401u/2019-2020☆10May 15, 2020Updated 6 years ago
- ☆26Aug 7, 2024Updated 2 years ago
- ☆25Oct 12, 2021Updated 4 years ago
- Orthogonal Quantile Regression☆11Oct 21, 2021Updated 4 years ago
- This github contains the implementation of the method proposed in MDGNN_BS paper☆13May 9, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course☆11Mar 3, 2024Updated 2 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆21Jun 12, 2020Updated 6 years ago
- Desirability Functions for Multiparameter Optimization☆14Nov 14, 2025Updated 9 months ago
- Course project. A implementation of Graph Wavelet Neural Network (ICLR 2019)☆11Jan 6, 2020Updated 6 years ago
- A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.☆20Sep 17, 2025Updated 11 months ago
- End-to-end codebase for finetuning LLMs (LLaMA 2, 3, etc.) with or without DP☆17Sep 23, 2024Updated last year
- Official Tensorflow Code for the paper "Overcomplete Deep Subspace Clustering Networks" - WACV 2021☆14Nov 23, 2020Updated 5 years ago
- Conformal Anomaly Detection & Change-Point Detection☆57Aug 11, 2026Updated last week
- ☆26Dec 12, 2025Updated 8 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for Paper 'DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards'☆18May 21, 2026Updated 2 months ago
- ☆19Feb 14, 2024Updated 2 years ago
- ☆10Feb 2, 2023Updated 3 years ago
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Jun 3, 2022Updated 4 years ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆43Jan 18, 2026Updated 7 months ago
- ☆48Jan 13, 2025Updated last year
- ☆26Jan 9, 2026Updated 7 months ago
- Sentiment Analysis On Financial News Headlines With BERT & FinBERT☆12Feb 21, 2023Updated 3 years ago
- ABM course in MACSS program taught Winter 2023☆13May 9, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆12Apr 5, 2017Updated 9 years ago
- Software used for papers published by CAUSALab members☆12Oct 23, 2025Updated 9 months ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- a versioned .csv file that auto-updates from the i3 index google sheet☆24Mar 26, 2026Updated 4 months ago
- ☆16Sep 5, 2020Updated 5 years ago
- ☆25Apr 4, 2026Updated 4 months ago
- LibCP -- A Library for Conformal Prediction☆13Feb 26, 2015Updated 11 years ago