NumSharp 0.7.4
NumSharp is the fundamental package for scientific computing with dot NET. It has implemented the arange, array, max, min, reshape, normalize, unique and random interfaces and so on. More and more interfaces will be added to the library gradually. If you want to use .NET to get started with machine learning, NumSharp will be your best tool library.
Showing the top 20 packages that depend on NumSharp.
| Packages | Downloads |
|---|---|
|
TensorFlow.NET
Google's TensorFlow full binding in .NET Standard.
Building, training and infering deep learning models.
https://tensorflownet.readthedocs.io
|
11 |
|
TensorFlow.NET
Google's TensorFlow full binding in .NET Standard.
Building, training and infering deep learning models.
https://tensorflownet.readthedocs.io
|
10 |
|
TensorFlow.NET
Google's TensorFlow full binding in .NET Standard.
Docs: https://tensorflownet.readthedocs.io
|
10 |
|
TensorFlow.NET
Google's TensorFlow full binding in .NET Standard.
Docs: https://tensorflownet.readthedocs.io
|
9 |
|
TensorFlow.NET
Google's TensorFlow full binding in .NET Standard.
Building, training and infering deep learning models.
https://tensorflownet.readthedocs.io
|
9 |
|
TensorFlow.NET
TensorFlow binding for .NET Standard.
|
7 |
|
TensorFlow.NET
Google's TensorFlow full binding in .NET Standard.
Docs: https://tensorflownet.readthedocs.io
|
7 |
|
TensorFlow.NET
Google's TensorFlow binding in .NET Standard.
Docs: https://tensorflownet.readthedocs.io
|
5 |
Added np.concatenate
.NET Standard 2.0
- Microsoft.CSharp (>= 4.5.0)
- Microsoft.Windows.Compatibility (>= 2.0.1)
- System.Drawing.Common (>= 4.5.1)
- System.Memory (>= 4.5.2)
- System.Numerics.Vectors (>= 4.5.0)
| Version | Downloads | Last updated |
|---|---|---|
| 0.30.0 | 8 | 04/18/2025 |
| 0.20.5 | 7 | 04/19/2025 |
| 0.20.4 | 7 | 04/19/2025 |
| 0.20.3 | 7 | 04/18/2025 |
| 0.20.2 | 7 | 04/18/2025 |
| 0.20.1 | 7 | 04/18/2025 |
| 0.20.0 | 7 | 04/18/2025 |
| 0.10.6 | 7 | 04/19/2025 |
| 0.10.5 | 7 | 04/19/2025 |
| 0.10.4 | 6 | 04/19/2025 |
| 0.10.3 | 7 | 04/18/2025 |
| 0.10.2 | 7 | 04/18/2025 |
| 0.10.1 | 7 | 04/18/2025 |
| 0.10.0 | 7 | 04/18/2025 |
| 0.9.0 | 7 | 04/18/2025 |
| 0.8.3 | 7 | 04/18/2025 |
| 0.8.2 | 7 | 04/18/2025 |
| 0.8.1 | 7 | 04/18/2025 |
| 0.8.0 | 7 | 04/18/2025 |
| 0.7.4 | 6 | 04/18/2025 |
| 0.7.3 | 7 | 04/18/2025 |
| 0.7.2 | 7 | 04/18/2025 |
| 0.7.1 | 7 | 04/18/2025 |
| 0.7.0 | 7 | 04/18/2025 |
| 0.6.6 | 7 | 04/19/2025 |
| 0.6.5 | 7 | 04/19/2025 |
| 0.6.4 | 6 | 04/19/2025 |
| 0.6.3 | 7 | 04/18/2025 |
| 0.6.2 | 6 | 04/18/2025 |
| 0.6.1 | 7 | 04/18/2025 |
| 0.6.0 | 8 | 04/18/2025 |
| 0.5.0 | 7 | 04/18/2025 |
| 0.4.0 | 7 | 04/18/2025 |
| 0.3.0 | 7 | 04/18/2025 |
| 0.2.0 | 7 | 04/18/2025 |
| 0.1.0 | 7 | 04/18/2025 |