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Open source hardware and software platform to build a small scale self driving car.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Implementation of Axial attention - attending to multi-dimensional data efficiently
Library for reading and writing large multi-dimensional arrays.
Simple, native and efficient local ad blocker. Only Bash.
PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct feedback alignment (DFA), and direct random target projection …
Deep learning in a spiking neural network using segregated dendrites.
PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.
Read and write Neuroglancer datasets programmatically.
Versatile acquisition software for serial block-face electron microscopy
A library to facilitate machine learning on multi-dimensional images.
Gradient based receptive field estimation for Convolutional Neural Networks
A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks, based on Theano
Python library for interacting with KNOSSOS data sets and annotation files