Explore Projects
Discover 11 open source projects
Showing 1-11 of 11 projects
sktime/pytorch-forecasting
A powerful PyTorch-based library for time series forecasting with support for AI and machine learning.
uncertainty-toolbox/uncertainty-toolbox
A Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
stanfordmlgroup/ngboost
A Python library for natural gradient boosting, a powerful technique for probabilistic prediction.
google/uncertainty-baselines
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
mossr/BeautifulAlgorithms.jl
A collection of concise and beautiful algorithms written in the Julia programming language.
gempy-project/gempy
GemPy is an open-source 3D structural geological modeling software for implicit creation of complex geological models.
valeman/awesome-conformal-prediction
A curated list of resources for the Conformal Prediction machine learning technique.
cvs-health/uqlm
A Python package for uncertainty quantification and hallucination detection in large language models (LLMs)
andrewgordonwilson/bayesgan
Tensorflow code for the Bayesian GAN, a generative adversarial network with Bayesian uncertainty modeling.
aangelopoulos/conformal-prediction
Lightweight implementation of conformal prediction, a method for uncertainty estimation in machine learning.
Stay in the loop
Get weekly updates on trending AI coding tools and projects.