FORK - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
C# · active 2025-01-02 → 2026-05-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 507 days from 2025-01-02 to 2026-05-23. Pushes: 0 total, peak 0 in a day. Pull requests: 4 total, peak 2 in a day. Issues: 11 total, peak 2 in a day. Comments: 21 total, peak 3 in a day. Stars: 74 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 |
|---|---|---|---|---|
| abrguyt | 10 | 0 | 0 | 7 |
| ericstj | 4 | 0 | 0 | 1 |
| bhairav-thakkar | 3 | 0 | 0 | 2 |
| xdaker | 2 | 0 | 0 | 1 |
| eLDoherty | 2 | 0 | 2 | 0 |
| phil-kotze | 2 | 0 | 2 | 0 |
| yangmijun | 2 | 0 | 0 | 2 |
| Rokumaehn | 2 | 0 | 0 | 1 |
| wx919 | 1 | 0 | 0 | 0 |
| dfengpo | 1 | 0 | 0 | 0 |
| Mustenaka | 1 | 0 | 0 | 1 |
| kenshunlee | 1 | 0 | 0 | 1 |
| Oceania2018 | 1 | 0 | 0 | 1 |
| kirilllapi | 1 | 0 | 0 | 1 |
| MattCW1701 | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#1300xdaker2025-08-21 07:49[BUG Report]:
- Issue comment#1299Rokumaehn2025-08-15 05:06[BUG Report]: Exception of type System.AccessViolationException is thrown while loading data into an NDArray
- Issue comment#1019abrguyt2025-08-14 02:48[Performance Issue]: Out of memory on subsequent model predictions and SLOW
- Issue#1299Rokumaehn2025-08-10 04:29[BUG Report]: Exception of type System.AccessViolationException is thrown while loading data into an NDArray
- Pull request#1298phil-kotze2025-08-07 03:22
- Pull request#1298phil-kotze2025-08-07 03:22
- Issue comment#1291xdaker2025-07-23 06:25[Question]: Using latest TensorFlow.NET with GPU on Windows
- Issue comment#1265xdaker2025-07-23 03:12[BUG Report]: GPU LSTM，erro：System.EntryPointNotFoundException:“Unable to find an entry point named 'TF_GetHandleShapeAndType' in DLL 'tensorflow'.”
- Issue#1297ericstj2025-07-10 18:31[BUG Report]: scisharp.tensorflow.redist-linux-gpu-primary package fails to build when `obj` folder doesn't exist
- Issue comment#1296ericstj2025-07-09 19:58[BUG Report]: Latest TensorFlow.NET is not strong named signed
- Issue#1296ericstj2025-07-09 17:46[BUG Report]: Latest TensorFlow.NET is not strong named signed
- Issue#1294ericstj2025-07-09 16:50GPU packages for latest relase
- Issue comment#1293xdaker2025-07-02 01:14[BUG Report]: 使用Lstm同样的代码，再python正常运行，但是使用.net报错
- Issue comment#1293Mustenaka2025-06-25 02:22[BUG Report]: 使用Lstm同样的代码，再python正常运行，但是使用.net报错
- Issue comment#1254Oceania20182025-06-21 15:43搞个微信群吧
- Issue comment#936kirilllapi2025-05-02 21:09Does TensorFlow.NET support .NET Framework 4.7.2
- Issue#1292dfengpo2025-04-23 04:09[Question]: You've stopped updating
- Issue#1289wx9192025-03-23 13:07[BUG Report]:
- Issue comment#782MattCW17012025-02-25 03:46How to use layer_norm or LayerNormalization with tf.keras
- Issue comment#1272abrguyt2025-02-04 07:44Namespace and Compilation Errors with TensorFlow.NET
- Issue comment#1283abrguyt2025-02-04 03:21[Question]: Tensorflow.Keras v0.15 usable with .NET 4.8 ?
- Issue#1283abrguyt2025-02-04 03:21[Question]: Tensorflow.Keras v0.15 usable with .NET 4.8 ?
- Issue comment#1284abrguyt2025-02-04 02:02[BUG Report]: Tensorflow.Numpy.NDArray handling exception with .NET 4.8
- Issue#1284abrguyt2025-02-04 02:02[BUG Report]: Tensorflow.Numpy.NDArray handling exception with .NET 4.8
- Issue comment#1246abrguyt2025-02-03 05:41Error when saving model using model.save
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 74 stars here means stars gained during the window, not the repo's star count.