Stars
The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and prov…
My blogs and code for machine learning. http://cnblogs.com/pinard
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Journal information and Latex templates in the field of industrial artificial intelligence.
Explainable neural dynamic model for motor temperature prediction
A toolbox for using complex-valued standard network modules in PyTorch, including MLP, CNN, RNN, Attention.
lanagarmire / Cox-nnet-v2.0
Forked from dwangi/Cox-nnet-v2.0Updated version 2 of Cox-nnet
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
Bayesian Data Analysis demos for Python
Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm
Particle filtering and sequential parameter inference in Python