Hippogriff

def knn(x, k1, k2):                                                                                                                                                     
    batch_size = x.shape[0]                                                                                                                                             
    indices = np.arange(0, k2, k2 // k1)                                                                                                                                
    with torch.no_grad():                                                                                                                                               
        distances = []                                                                                                                                                  
        for b in range(batch_size):                                                                                                                                     
          

Hippogriff

Keybase proof

I hereby claim:

• I am godofprobability on github.
• I am philae (https://keybase.io/philae) on keybase.
• I have a public key whose fingerprint is 273F FEE4 F610 6798 8FF5 B17A 9CFA 7D1F 2135 2708

To claim this, I am signing this object:

Hippogriff

Keybase proof

I hereby claim:

• I am godofprobability on github.
• I am philae (https://keybase.io/philae) on keybase.
• I have a public key whose fingerprint is 1925 12E9 0800 A69F 4EEA F0DB 8D3A 5681 7093 4C6A

To claim this, I am signing this object:

Hippogriff

{
  "_notes": "Faculty graph scraped from https://people.cs.umass.edu/~emery/misc/collaboration",
  "directed": false,
  "graph": {},
  "links": [
    {
      "source": 0,
      "target": 32
    },
    {