Date/time utilities in the pandas module are more flexible/powerful than that in the datetime module.
It is suggested that you use date/time utilities in the pandas module
when you use DataFrame/Series in the pandas module.
pandas.to_datetime works on an iterable object, handles missing values and nano seconds.
pandas.Series.dt.strftime
Pad a Sequence in Python
The Python Quit Unexpectedly Error
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
If you are using Homebrew, you can reinstall a corrupted Python environment like this:
brew uninstall --ignore-dependencies --force python python@2 unset PYTHONPATH brew install python python@2 I had another …
Gradient Clipping in PyTorch
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
optimizer.zero_grad()
output = model(data)
loss = F.nll_loss(output, target)
loss.backward()
torch.nn.utils.clip_grad_norm_(model.parameters(), args.clip)
optimizer.step()
- Use
torch.nn.utils.clips_grad_norm_(which is in-place) instead …
Tensor Transformations in TorchVision
Comments¶
Transformations in
torchvision.transformswork on images, tensors (representing images) and possibly on numpy arrays (representing images). However, a transformation (e.g.,ToTensor) might work differently on different input types. So you'd be clear about what exactly a transformation function does. A good practice is to always convert your non-tensor input data to tensors using the transformationToTensor
Public Cloud Offering GPU Support
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://lambdalabs.com/
https://www.floydhub.com/
https://colab.research.google.com/notebooks/intro.ipynb#recent=true
Amazon AWS
Below is a list of instances that have 1 GPU on Amazon …