Popular GitHub Repositories for Uncertainty

Time series forecasting with PyTorch

Lightweight, useful implementation of conformal prediction on real data.

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

(ICCV 2019) Uncertainty-aware Face Representation and Recognition

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

Conformal prediction for time-series applications.

[NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Bayesian dessert for Lasagne

(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)

Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)

?A curated list of papers on the uncertainty in multi-modal large language model (MLLM).

A Python Library for Uncertain Knowledge Graph Reasoning

NephroDoctor: A simple Medical Expert System written in Prolog

[NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Language Models'.

Backward-chaining medical expert system that specializes in selected autoimmune diseases and employs MYCIN-style computations to handle uncertainty

Linear uncertainty propagation using JAX transformations