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Title: datafold/tutorials at master · datafold-dev/datafold · GitHub

Open Graph Title: datafold/tutorials at master · datafold-dev/datafold

X Title: datafold/tutorials at master · datafold-dev/datafold

Description: Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data. - datafold/tutorials at master · datafold-dev/datafold

Open Graph Description: Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from d...

X Description: Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from d...

Opengraph URL: https://github.com/datafold-dev/datafold/tree/master/tutorials

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testshttps://github.com/datafold-dev/datafold/tree/master/tutorials/tests
01_datastructures.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/01_datastructures.ipynb
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03_dmap_scurve.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/03_dmap_scurve.ipynb
03_dmap_scurve.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/03_dmap_scurve.ipynb
04_dmap_digitclustering.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/04_dmap_digitclustering.ipynb
04_dmap_digitclustering.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/04_dmap_digitclustering.ipynb
05_roseland_scurve_digits.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/05_roseland_scurve_digits.ipynb
05_roseland_scurve_digits.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/05_roseland_scurve_digits.ipynb
06_dmap_mahalanobis_kernel.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/06_dmap_mahalanobis_kernel.ipynb
06_dmap_mahalanobis_kernel.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/06_dmap_mahalanobis_kernel.ipynb
07_jsf_common_eigensystem.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/07_jsf_common_eigensystem.ipynb
07_jsf_common_eigensystem.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/07_jsf_common_eigensystem.ipynb
08_gh_oos.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/08_gh_oos.ipynb
08_gh_oos.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/08_gh_oos.ipynb
09_dmd_mixed_spatial_signals.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/09_dmd_mixed_spatial_signals.ipynb
09_dmd_mixed_spatial_signals.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/09_dmd_mixed_spatial_signals.ipynb
10_edmd_limitcycle.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/10_edmd_limitcycle.ipynb
10_edmd_limitcycle.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/10_edmd_limitcycle.ipynb
11_dmd_control.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/11_dmd_control.ipynb
11_dmd_control.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/11_dmd_control.ipynb
12_edmd_control.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/12_edmd_control.ipynb
12_edmd_control.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/12_edmd_control.ipynb
13_EDMD_with_dictionary_learning.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/13_EDMD_with_dictionary_learning.ipynb
13_EDMD_with_dictionary_learning.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/13_EDMD_with_dictionary_learning.ipynb
14_kmpc_flowcontrol.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/14_kmpc_flowcontrol.ipynb
14_kmpc_flowcontrol.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/14_kmpc_flowcontrol.ipynb
15_kmpc_motor_engine.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/15_kmpc_motor_engine.ipynb
15_kmpc_motor_engine.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/15_kmpc_motor_engine.ipynb
16_online_dmd.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/16_online_dmd.ipynb
16_online_dmd.ipynbhttps://github.com/datafold-dev/datafold/blob/master/tutorials/16_online_dmd.ipynb
README.rsthttps://github.com/datafold-dev/datafold/blob/master/tutorials/README.rst
README.rsthttps://github.com/datafold-dev/datafold/blob/master/tutorials/README.rst
README.rsthttps://github.com/datafold-dev/datafold/tree/master/tutorials#readme
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Downloadhttps://gitlab.com/datafold-dev/datafold/-/archive/master/datafold-master.zip?path=tutorials/
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/01_datastructures.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_01_datastructures.html
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/02_pcm_subsampling.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_02_pcm_subsampling.html
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/03_dmap_scurve.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_03_dmap_scurve.html
scikit-learn tutorialhttps://scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html#sphx-glr-auto-examples-manifold-plot-compare-methods-py
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id1
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/04_dmap_digitclustering.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_04_dmap_digitclustering.html
scikit-learn tutorialhttps://scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id3
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/05_roseland_scurve_digits.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_05_roseland_scurve_digits.html
scikit-learn tutorial 1https://scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html#sphx-glr-auto-examples-manifold-plot-compare-methods-py
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id5
scikit-learn tutorial 2https://scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id7
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/06_dmap_mahalanobis_kernel.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_06_dmap_mahalanobis_kernel.html
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/07_jsf_common_eigensystem.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_07_jsf_common_eigensystem.html
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/08_gh_oos.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_08_gh_oos.html
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/09_dmd_mixed_spatial_signals.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_09_dmd_mixed_spatial_signals.html
pykoopman tutorialhttps://github.com/dynamicslab/pykoopman/blob/master/docs/tutorial_dmd_separating_two_mixed_signals_400d_system.ipynb
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id9
:cite:t:`kutz-2016`https://github.com/datafold-dev/datafold/tree/master/tutorials#id11
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/10_edmd_limitcycle.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_10_edmd_limitcycle.html
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/11_dmd_control.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_11_dmd_control.html
Original PyDMD tutorialhttps://github.com/mathLab/PyDMD/blob/master/tutorials/tutorial7/tutorial-7-dmdc.ipynb
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id13
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/12_edmd_control.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_12_edmd_control.html
Templated tutorialhttps://github.com/i-abr/mpc-koopman/blob/master/mpc_with_koopman_op.ipynb
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id15
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/13_EDMD_with_dictionary_learning.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_13_EDMD_with_dictionary_learning.html
:cite:t:`li-2017`https://github.com/datafold-dev/datafold/tree/master/tutorials#id17
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/14_kmpc_flowcontrol.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_14_kmpc_flowcontrol.html
Original code (Matlab)https://github.com/arbabiha/KoopmanMPC_for_flowcontrol
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id19
:cite:t:`arbabi-2018`https://github.com/datafold-dev/datafold/tree/master/tutorials#id21
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/15_kmpc_motor_engine.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_15_kmpc_motor_engine.html
Original code (Matlab)https://github.com/MilanKorda/KoopmanMPC/
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id23
:cite:t:`korda-2018`https://github.com/datafold-dev/datafold/tree/master/tutorials#id25
downloadhttps://gitlab.com/datafold-dev/datafold/-/raw/master/tutorials/16_online_dmd.ipynb?inline=false
dochttps://datafold-dev.gitlab.io/datafold/tutorial_16_online_dmd.html
Original demohttps://github.com/haozhg/odmd/blob/master/demo/demo_online.ipynb
:octicon:`link-external`https://github.com/datafold-dev/datafold/tree/master/tutorials#id27
:cite:t:`zhang-2019`https://github.com/datafold-dev/datafold/tree/master/tutorials#id29
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