kornia.geometrya geometric computer vision library to perform image transformations, 3D linear algebra and conversions using different camera models kornia.lossesa stack of loss functions to solve different vision tasks kornia.morphologya module to perform morphological operations ...
Based on [EdgePooling](https://github.com/pyg-team/pytorch_geometric/blob/master/torch_geometric/nn/pool/edge_pool.py) --- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Matthias Fey <matthias.fey@tu-dortmund.de>Loading branch...
We don’t need the fully connected (i.e. classification) layers because they serve no purpose here. We will toss fc8 away completely, but choose to rework fc6 and fc7 into convolutional layers conv6 and conv7. The first three modifications are straightforward enough, but that last one prob...
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pytorch_geometric: Geometric Deep Learning Extension Library for PyTorch torchplus: Implements the + operator on PyTorch modules, returning sequences. lagom: lagom: A light PyTorch infrastructure to quickly prototype reinforcement learning algorithms. torchbearer: torchbearer: A model training library for ...
pytorch_geometric: Geometric Deep Learning Extension Library for PyTorch torchplus: Implements the + operator on PyTorch modules, returning sequences. lagom: lagom: A light PyTorch infrastructure to quickly prototype reinforcement learning algorithms. torchbearer: torchbearer: A model training library for ...
pytorch_geometric: Geometric Deep Learning Extension Library for PyTorch torchplus: Implements the + operator on PyTorch modules, returning sequences. lagom: lagom: A light PyTorch infrastructure to quickly prototype reinforcement learning algorithms. torchbearer: torchbearer: A model training library for ...
DGC-Net: A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network". universal-triggers: Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019) Deep-Reinforcement-Learning-Algorithms-with-PyTorch: PyTorch implementations of deep reinforcement learning algorithms and ...
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