NumSharp 0.20.0
NumSharp is the fundamental library for scientific computing with .NET providing a similar API to python's numpy scientific library. NumSharp has full N-D, broadcasting and axis support. If you want to use .NET to get started with machine learning, NumSharp will be your best tool.
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 |
Most of the library (>95%) has been rewritten within over 400 commits in course of 3 months.
- Full n-d, slice, broadcasting and axis support in all reimplemented methods (e.g. np.sum, np.concatenate) Broadcasting n-d shapes against each other.
- NDArray Slicing and nested slicing (nd["-1, ::2"]["1::3, :, 0"])
- Full and precise (to numpy) type resolving and conversion (upcasting, downcasting and all other cases)
- Use of unmanaged memory and unsafe code in favor of performance.
- NumSharp no longer perform copies except for cases when numpy does. Compared to previous version, indexing an n-d array (e.g. nd[0,1] when shape is (3,3,3,3)) would return a copy when now it returns a reference (alias).
.NET Standard 2.0
- System.Memory (>= 4.5.3)
- System.Runtime.CompilerServices.Unsafe (>= 4.5.2)
| 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 |