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Tes Python Packages

Python packages with the GitHub topic tes. Sorted by monthly downloads, with stars and forks.
Metaverse-Crowdsource
frequency-max-power

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

93 39 10
Metaverse-Crowdsource
spectral-edge-density

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

80 39 10
Metaverse-Crowdsource
stftsignal

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

77 39 10
Metaverse-Crowdsource
spectral-centroids

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

77 39 10
Metaverse-Crowdsource
transfer-entropy-all-signals

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

70 39 10
Metaverse-Crowdsource
spectral-entropy-signals

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

59 39 10
Metaverse-Crowdsource
transfer-entropy-hemispheric

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

55 39 10
labbcb
espresso-caller

Automated and reproducible tool for identifying genomic variants at scale ☕️

55 0 0
Metaverse-Crowdsource
phase-space-2d

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

55 39 10
Metaverse-Crowdsource
phase-space-3d

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

54 39 10
Metaverse-Crowdsource
mfdfa1000hz

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

53 39 10
Metaverse-Crowdsource
transfer-entropy-regional

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

52 39 10
Metaverse-Crowdsource
welchspsd

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

49 39 10
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology