uncertainty-quantification

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

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"