EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
Python · active 2023-08-15 → 2026-07-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1060 days from 2023-08-15 to 2026-07-09. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 8 total, peak 1 in a day. Comments: 11 total, peak 4 in a day. Stars: 144 total, peak 3 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Alicoo1907 | 4 | 0 | 0 | 2 |
| Sungden | 2 | 0 | 0 | 0 |
| Betty-J | 2 | 0 | 0 | 1 |
| adikrishnanucd | 2 | 0 | 0 | 2 |
| douyang | 1 | 1 | 0 | 0 |
| jorel666 | 1 | 0 | 0 | 1 |
| bryanhe | 1 | 1 | 0 | 0 |
| alexgcsa | 1 | 0 | 0 | 1 |
| Eof233 | 1 | 0 | 0 | 1 |
| YuHe0108 | 1 | 0 | 0 | 0 |
| Penguin-is-rich | 1 | 0 | 0 | 0 |
| everypidigit | 1 | 0 | 0 | 1 |
| fadamsyah | 1 | 0 | 0 | 1 |
| sSs-Lucky | 1 | 0 | 0 | 1 |
| fanke12345 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#95jorel6662026-05-10 08:24Maintained version of the EchoNet-Dynamic model
- Issue comment#87sSs-Lucky2025-07-29 02:23install error
- Issue#94YuHe01082025-07-17 08:51I can't reproduce the results of segmentation in the paper
- Issue comment#87Eof2332024-11-29 01:57install error
- Issue#85Penguin-is-rich2024-04-07 03:05How to use the best model in dynamic v1.0.0
- Issue comment#79everypidigit2024-03-14 02:02RuntimeError: Given groups=1, weight of size [45, 3, 1, 7, 7], expected input[1, 204, 3, 112, 112] to have 3 channels
- Issue comment#80Alicoo19072024-02-24 11:14Echonet
- Issue#80Alicoo19072024-02-24 11:14Echonet
- Issue comment#80adikrishnanucd2024-02-24 10:56Echonet
- Issue comment#80Alicoo19072024-02-24 10:05Echonet
- Issue comment#80adikrishnanucd2024-02-24 02:04Echonet
- Issue comment#78fadamsyah2024-01-24 06:44Calculate EF from Masks or Keypoints
- Issue#83Betty-J2024-01-04 08:38About how the EF score in FileList.csv is given
- Issue comment#78Betty-J2024-01-04 08:28Calculate EF from Masks or Keypoints
- Issue#82fanke123452023-12-09 13:15I want to ask how to test this model on my own dataset？
- Issue comment#80alexgcsa2023-11-04 07:00Echonet
- Issue#81Sungden2023-11-01 06:02How to transfer the labels in th CSV file to image format?
- Issue#81Sungden2023-10-07 12:25How to transfer the labels in th CSV file to image format?
- Issue#80Alicoo19072023-10-06 09:16Echonet
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 144 stars here means stars gained during the window, not the repo's star count.