GinGinWang

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

onTrainingLocalizedCP

UACQR

Uncertainty Aware CQR

chr

Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems

MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

CDE-diagnostics

Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms

conformal-rnn

Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.

AEnbMIMOCQR

prediction-powered-inference

A statistical toolkit for scientific discovery using machine learning

neural_prophet

NeuralProphet: A simple forecasting package

conformal_classification

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Conffusion

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

im2im-uq

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

weighted_conformal_pvalues

Asymmetric binary classification with adaptively weighted conformal p-values

iDECODe

AAAI, 2022

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

RSCP

Code for the paper Adversarially Robust Conformal Prediction

conformal-risk

Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

rcps

Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

ltt

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

nonconformist

Python implementation of the conformal prediction framework.

Topics-In-Modern-Statistical-Learning

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

mqr

Multiple-Output Quantile Regression

conditional-conformal-pvalues

Conditional calibration of conformal p-values for outlier detection.

CopulaConformalMTR

Code for paper "Copula-based conformal prediction for Multi-Target Regression"

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

OODSurvey

The Official Repository for "Generalized OOD Detection: A Survey"