MaxineYu

guided-diffusion

awesome-data-contamination

The Paper List on Data Contamination for Large Language Models Evaluation.

calibration_is_what_you_need

gnn-residual-correlation

Benchmark_dataset_for_graph_classification

This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

Topics-In-Modern-Statistical-Learning

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

Rotation-Invariant-Coordinate-Convolutional-Neural-Network

The code of the paper "RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network"

GraphLearning

Python package for graph-based clustering and semi-supervised learning

rotation-invariant-random-features

US_County_Level_Election_Results_08-20

United States General Election Presidential Results by County from 2008 to 2016

conformalized-gnn

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)

pokemon-battle-predictor

Pokemon Challenge from https://www.kaggle.com/terminus7/pokemon-challenge

Pokemon-Challenge

Based on Kaggle Challenge here: https://www.kaggle.com/c/t7-pokemon-challenge/leaderboard

SpectralRankingWithCovariates

Code for the research project -- Spectral Ranking with Covariates

pokemon-battle-predictor

Pokemon Challenge from https://www.kaggle.com/terminus7/pokemon-challenge

Awesome-LLM-Uncertainty-Reliability-Robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models