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awesome-industrial-machine-datasets

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

dl-4-tsc

Deep Learning for Time Series Classification

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

kalman-and-bayesian-filters-in-python

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 filters, and more. All exercises include solutions.

keras_shapelets

Efficient implementation of Learning Time-Series Shapelets using keras

lihang-code

《统计学习方法》的代码实现

mechanical-datasets

moea-dev

particle_filter

MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filter for an application to terrain-referenced navigation.

phm-ieee-2012-data-challenge-dataset

Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

pinn_ode_tutorial

shaplets-python

Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.

show-attend-and-tell

TensorFlow Implementation of "Show, Attend and Tell"

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

tcsisimtestbed

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

ucr_time_series_classification_deep_learning_baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification