UniTS
importedsoftware/units
A unified multi-task time series model.
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
- mims-harvard
- Country
- unknown
- Repository
- github.com/mims-harvard/UniTS
- Documentation
- unknown
- Tags
- anomaly-detection · classification · ecg · eeg · few-shot · forecasting · foundation-models · imputation
- 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.
- Real-Time-ECG-Monitoring-Androidanomaly-detection · ecg
Android Application for Real-Time ECG Anomaly Detection Written in Kotlin
- PhysioWaveecg · eeg · foundation-models
[NeurIPS 2025] PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
- T-BEARanomaly-detection · eeg
Detect EEG artifacts, outliers, or anomalies using supervised machine learning.
- DISCimputation
A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.
- lupineimputation
Mass spectrometry proteomics imputation with a multilayer perceptron
- missingdataimputation
missing data handing: visualize and impute
- api.github.com/repos/mims-harvard/UniTSretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-09-26, 646 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/28.json→ .entries["units"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.