statemile Goto Github PK

bayesoptbook.github.io

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

causality-tutorial-exercises

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

detectshift

Dataset shift diagnostics in Python

enhanced-gpdm

Official implementation of Enhanced Gaussian process dynamical models with knowledge transfer for long-term battery degradation forecasting.

few-shot-cross-domain-battery-capacity-estimation

The codes for Few-shot Cross Domain Battery Capacity Estimation paper

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

gp_extras

Additional kernels that can be used with scikit-learn's Gaussian Process module

gpflow

Gaussian processes in TensorFlow

gprt

Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.

gpss22

gpss23

jdot

Joint distribution optimal transportation for domain adaptation

probabilistic_ml

Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023

probinf-spring-2023

Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

raincoat

Domain Adaptation for Time Series Under Feature and Label Shifts

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.