Hello World!!

I just got this thing set up. Figured I could dump updates and thoughts here.

In the meantime, we can approximate \(e^x\) by

\[e^x = \sum\limits_{i=0}^\infty \frac{x^n}{n!},\]

from which we see that MathJax seems to be working.

---

I can also paste some code.

def entropy(x: torch.Tensor, dim: int, alpha: float = 1) -> torch.Tensor:
    if alpha == 1: 
        return -torch.sum(x * torch.log(x), dim=dim)
    elif alpha == 0: 
        return torch.log((x != 0).sum(dim=dim).float())
    return torch.log(torch.sum(x ** alpha, dim=dim)) / (1 - alpha)

Neat.