tscohen / gconv_experiments
Experiments with Group Equivariant Convolutional Networks
☆120Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for gconv_experiments
- Group Equivariant Convolutional Neural Networks☆355Updated 3 years ago
- Experiments with Group Equivariant Convolutions in PyTorch☆110Updated last year
- Deep Translation and Rotation Equivariance☆268Updated 5 years ago
- Group Equivariant Convolutional Neural Networks☆97Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆85Updated 8 years ago
- Structured Receptive Fields in Convolutional Neural Networks☆47Updated 6 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆88Updated 5 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 4 years ago
- ☆219Updated 6 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- A Lasagne layer (and supporting Theano Ops) for the CRF-as-RNN layer.☆49Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Implementation of Sequential Variational Autoencoder☆84Updated 7 years ago
- A PyTorch library for differentiable submodular minimization.☆57Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated last year
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆170Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆140Updated 6 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆89Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 8 years ago
- ☆66Updated 5 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆82Updated 5 years ago
- ☆81Updated 7 years ago
- TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks☆118Updated 7 years ago