candock
importedsoftware/candock
A time series signal analysis and classification framework
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/HypoX64/candock
- Documentation
- unknown
- Tags
- classification · data-augmentation · data-preprocessing · deep-learning · eeg · series-signal-analysis
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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A bioinformatics extension of 🤗 Datasets library, built for ML applications on biological and omics data, offering easy integration of metadata and low-code data management tools.
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In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named…
- EEGResearchHubdata-augmentation · eeg
A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.
- sleek-patchdata-preprocessing
Python 3 Package for optimally sampling big images with texture-aware patchification based on SLIC superpixels. So Sleek !
- Demiurgedata-preprocessing
Demiurge is a Python tool for generating ML input data from simulated ¹H/¹³C NMR spectra or ECFP4 fingerprints. It uses local NMRshiftDB2 prediction and RDKit, producing ML-ready CSVs from SMILES in…
- api.github.com/repos/HypoX64/candockretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-07-06, 86 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/58.json→ .entries["candock"]
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