SparseConvNet Submanifold Sparse Convolutional NetworksThis is the PyTorch library for training Submanifold Sparse Convolutional Networks. Spatial sparsity This library brings Spatially-sparse convolutional networks to PyTorch. Moreover, it introduces Submanifold Sparse Convolutions, that can be used to build computationally efficient sparse VGG/ResNet/DenseNet-style networks. With regular 3×3 convolutions, the set of active (non-zero) sites grows rapidly: With Submanifold Sparse Convolutions, the set of active sites is unchanged. Active sites look at their active neighbors (green); non-active sites (red) have no computational overhead: […]

python-can The Controller Area Network is a bus standard designed to allow microcontrollers and devices to communicate with each other. It has priority based bus arbitration and reliable deterministic communication. It is used in cars, trucks, boats, wheelchairs and more. The can package provides controller area network support for Python developers; providing common abstractions to different hardware devices, and a suite of utilities for sending and receiving messages on a can bus. The library currently supports Python 3.6+ as well […]