tensor

🚀 Feature

Add drop_remainder: bool = True support to torch.chunk and torch.split

• similar in function to drop_last in torch.utils.data.DataLoader
• If the length of the dimension is not perfectly divisible, drop the remaining elements from the returned arrays.

Add redistribute: bool = True support to torch.chunk and torch.split

• Spread the elements evenly across the c

Support Series.between

Hey Contributor!

Thanks for checking out HyperLearn!! Super appreciate it.

Since the package is new (only started like August 27th)..., Issues are the best place to start helping out, and or check out the Projects tab. There's a whole list of stuff I envisioned to complete.

Also, if you have a NEW idea: please post an issue and label it new enhancement.

In terms of priorities, I wanted

Tests for following standard libraries seem to be missing. Although some libraries might be difficult to test (such as random.egi or io.egi), it'd be nice to have some tests that make sure all the functions in these libraries can be (at least) executed without dynamic errors.

• lib/core/io.egi
• lib/core/random.egi
• lib/core/shell.egi
• lib/core/sort.egi
• Every