indiejoseph

阿爸	a1'ba4	18137
阿昌族	a1'chang1'zu2	50849
阿斗	a1'dou3	42632
阿飞	a1'fei1	48603
阿富汗	a1'fu4'han4	3461
阿訇	a1'hong1	34432
阿拉伯数字	a1'la1'bo2'shu4'zi4	35937
阿拉伯语	a1'la1'bo2'yu3	30476
阿妈	a1'ma1	16220
阿门	a1'men2	47913

xirixiz

SSH keypair setup for GitHub (or GitHub/GitLab/BitBucket, etc, etc)

Create a repo.

Make sure there is at least one file in it (even just the README.md)

Generate a SSH key pair (private/public):

ssh-keygen -t rsa -C "[email protected]"

thomwolf

model.zero_grad()                                   # Reset gradients tensors
for i, (inputs, labels) in enumerate(training_set):
    predictions = model(inputs)                     # Forward pass
    loss = loss_function(predictions, labels)       # Compute loss function
    loss = loss / accumulation_steps                # Normalize our loss (if averaged)
    loss.backward()                                 # Backward pass
    if (i+1) % accumulation_steps == 0:             # Wait for several backward steps
        optimizer.step()                            # Now we can do an optimizer step
        model.zero_grad()                           # Reset gradients tensors
        if (i+1) % evaluation_steps == 0:           # Evaluate the model when we...

RobinRojowiec

    def parse_category(self, url, depth):
        """
        Collects the links from a category and downloads/parses them
        :param url:
        :param depth:
        :return:
        """
        page_content = self.download_page(url)
        if page_content is None:
            return []