TS-TCC
importedsoftware/ts-tcc
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
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/emadeldeen24/TS-TCC
- Documentation
- unknown
- Tags
- contextual · contrastive-learning · deep-learning · eeg · epilepsy · epileptic-seizures · fault-diagnosis · human-activity-recognition
- 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.
- NICE-EEGcontrastive-learning · eeg
[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.
- ecg_qcepilepsy
A library to compute ECG signal quality indicators
Complex brain disorders, including Alzheimer's dementia, sleep disorders, and epilepsy, are chronic conditions that have high prevalence individually and in combination, increasing mortality risk,…
- papagei-foundation-modelcontrastive-learning
(ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
- pbmfcontrastive-learning
Predictive Biomarker Modeling Framework (PBMF)
- scConceptcontrastive-learning
Contrastive pre-training for technology-agnostic single-cell representations beyond reconstruction
- api.github.com/repos/emadeldeen24/TS-TCCretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-03-31, 497 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 →
/v1/entries/39.json→ .entries["ts-tcc"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.