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High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

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If you declare an array of a specific size, is there a way to assign slices of arrays? For example, if x is an NDArray of size (5,2,3,4), is there...

missing feature/s

Return elements, either from x or y, depending on condition. https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.where.html

enhancement

Runing YOLO with `ndarray-indexing` branch. ![image](https://user-images.githubusercontent.com/1705364/69483632-54d7e000-0def-11ea-99b4-3b2863490b39.png)

missing feature/s

``` NDArray positive_boxes = batch_item["...,0"] != 0; Debug.Log(positive_boxes); ``` The output is Null. In numpy I would expect an boolean mask NDArray of shape (...,1) here, right? Is masking implemented...

Theres a repeating need for methods to load Image to bitmap, we should provide performant builtin API for that. EDIT 1: System.Drawing.Bitmap are now supported by a separate package, [read...

enhancement

Doesn't work in ndarray[nd]? ![image](https://user-images.githubusercontent.com/1705364/66706800-4335ef80-ecfd-11e9-9a4d-4631255241d8.png) ```shell System.NotSupportedException: Specified method is not supported. at NumSharp.NDArray.set_Item(Object[] indices_or_slices, NDArray value) in D:\SciSharp\NumSharp\src\NumSharp.Core\Selection\NDArray.Indexing.cs:line 202 ``` _Originally posted by @Oceania2018 in https://github.com/SciSharp/NumSharp/issues/359#issuecomment-541355337_

Return the indices of the elements that are non-zero. https://docs.scipy.org/doc/numpy/reference/generated/numpy.nonzero.html

enhancement

Is it possible to suppor mixed index/ slice? This is what numpy doing: ![image](https://user-images.githubusercontent.com/1705364/66263777-49d4dc00-e7be-11e9-8fba-fd1014cbd922.png) Currently, it doesn't support: ![image](https://user-images.githubusercontent.com/1705364/66263800-7688f380-e7be-11e9-933a-2dfeb71f98f3.png)

enhancement

Test whether any array element along a given axis evaluates to True. https://docs.scipy.org/doc/numpy/reference/generated/numpy.any.html

enhancement

NDIterator is useful, we should add an overload that handles specific axis iterator: usage: ```C# new NDIterator(ndarray, axis: 1); ``` Also add an overload to extension `ndarray.AsIterator(axis: 1);`

missing feature/s