tscohen

lie_learn

Computations involving Lie groups and harmonic analysis

hexaconv

s2cnn

Spherical CNNs

gconv_experiments

Experiments with Group Equivariant Convolutional Networks

GrouPy

Group Equivariant Convolutional Neural Networks

HarmonicExponentialFamily

Code for Harmonic Exponential Families on Manifolds

se3cnn

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

tscohen/GrouPy

Group Equivariant Convolutional Neural Networks

tscohen/gconv_experiments

Experiments with Group Equivariant Convolutional Networks

tscohen/HarmonicExponentialFamily

Code for Harmonic Exponential Families on Manifolds

tscohen/se3cnn

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

tscohen/chainer

A flexible framework of neural networks for deep learning

tscohen/CyCuda

Cython Cuda Bindings

tscohen/pyNFFT

A pythonic wrapper around the NFFT library

tscohen/tscohen.github.io