pytorch toolbelt online with Winfy

We have hosted the application pytorch toolbelt in order to run this application in our online workstations with Wine or directly.

Quick description about pytorch toolbelt:

A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses: BinaryFocalLoss, Focal, ReducedFocal, Lovasz, Jaccard and Dice losses, Wing Loss and more. Extras for Catalyst library (Visualization of batch predictions, additional metrics). By design, both encoder and decoder produces a list of tensors, from fine (high-resolution, indexed 0) to coarse (low-resolution) feature maps. Access to all intermediate feature maps is beneficial if you want to apply deep supervision losses on them or encoder-decoder of object detection task.

Features:

• Create Encoder-Decoder FPN model with pretrained encoder
• Create Encoder-Decoder U-Net model
• Create Encoder-Decoder FPN model with pretrained encoder
• Change number of input channels for the Encoder
• Count number of parameters in encoder/decoder and other modules
• Compose multiple losses

Programming Language: Python.
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