Popular GitHub Repositories for Predictive Uncertainty

Time series forecasting with PyTorch

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

A Julia machine learning framework

Natural Gradient Boosting for Probabilistic Prediction

Python AutoML for Trading Systems and Sports Betting

Interpretable ML package ? for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Lightweight, useful implementation of conformal prediction on real data.

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Power Tools for AI Engineers With Deadlines

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

Pool-based active learning in Python

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

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System

Curated list of open source tooling for data-centric AI on unstructured data.

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)