dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Apply a new regularization technique to improve the performance of convolutional neural networks in PyTorch.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeImplementation of DropBlock: A regularization method for convolutional networks in PyTorch.
dropblock has 594 stars on GitHub. It has been forked 95 times. dropblock is written mainly in Python. It has been in active development since 2018. dropblock is available under the MIT license. Its main topics are computer-vision, convolutional-neural-networks, dropblock, dropout.
What is dropblock?
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Is dropblock open source?
dropblock is an open-source project. It is released under the MIT license.
Is dropblock free?
Yes. dropblock is free and open source — you can use, modify and self-host it.
What license does dropblock use?
dropblock is available under the MIT license.
What language is dropblock written in?
dropblock is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/miguelvr-dropblock.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.