FrancescoSaverioZuppichini

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

FrancescoSaverioZuppichini

class Kernel(Layer):

    def __init__(self, r, **kwargs):
        self.r = r
        super(Kernel, self).__init__(**kwargs)

    def build(self, input_shape):
        self.mu = self.add_weight(name='mu', 
                                  shape=(1, self.r),
                                  initializer='uniform',

FrancescoSaverioZuppichini

class MultiHeadAttention(nn.Module):
    def __init__(self, emb_size: int = 768, num_heads: int = 8, dropout: float = 0):
        super().__init__()
        self.emb_size = emb_size
        self.num_heads = num_heads
        # fuse the queries, keys and values in one matrix
        self.qkv = nn.Linear(emb_size, emb_size * 3)
        self.att_drop = nn.Dropout(dropout)
        self.projection = nn.Linear(emb_size, emb_size)
        

FrancescoSaverioZuppichini

class PatchEmbedding(nn.Module):
    def __init__(self, in_channels: int = 3, patch_size: int = 16, emb_size: int = 768):
        self.patch_size = patch_size
        super().__init__()
        self.projection = nn.Sequential(
            # using a conv layer instead of a linear one -> performance gains
            nn.Conv2d(in_channels, emb_size, kernel_size=patch_size, stride=patch_size),
            Rearrange('b e (h) (w) -> b (h w) e'),
        )
                

FrancescoSaverioZuppichini

function random_gender() {
    let roll = Math.random()
    let gender = roll > 0.5 ? 'He/She' : 'She/He'
    return gender
}

function fix_bias() {
    var biased_node = document.querySelectorAll("#tw-target > div > div > pre > span")[0]
    var text = biased_node.innerText

FrancescoSaverioZuppichini

Test

FrancescoSaverioZuppichini

print("Hello world!")

FrancescoSaverioZuppichini

for _ in range(5):
    print("hey!")

FrancescoSaverioZuppichini

print("Hello world!")

FrancescoSaverioZuppichini

for _ in range(5):
    print("hey!")