openmedical/registry
← registry

DETRtime

imported

software/detrtime

DETRtime, a framework for time-series segmentation

Machine-generated from the listed sources and not yet reviewed by a human.

DETRtime project image
GitHub preview card for lu-wo/DETRtime. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
attention-mechanism · convolutional-neural-networks · deep-learning · eeg · icml-2022 · time-series · transformer-models
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • PLAPTtransformer-models

    Codebase and CLI for PLAPT: A state-of-the-art protein-ligand binding affinity model for drug discovery

  • ADASTattention-mechanism · eeg

    [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

  • EEG-Transformerattention-mechanism · eeg

    i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension…

  • python implementations of Analyzing Neural Time Series Textbook

  • DDALABeeg · time-series

    DDALAB is a software platform for analyzing physiological time-series data using Delay Differential Analysis (DDA).

  • Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)

sources
  1. api.github.com/repos/lu-wo/DETRtime
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-07-25, 20 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/9.json→ .entries["detrtime"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.