tscohen / gconv_experiments
Experiments with Group Equivariant Convolutional Networks
☆121Updated 6 years ago
Alternatives and similar repositories for gconv_experiments
Users that are interested in gconv_experiments are comparing it to the libraries listed below
Sorting:
- Group Equivariant Convolutional Neural Networks☆362Updated 4 years ago
- Experiments with Group Equivariant Convolutions in PyTorch☆115Updated 2 years ago
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- Deep Translation and Rotation Equivariance☆269Updated 6 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- ☆123Updated 7 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 5 years ago
- ☆81Updated 7 years ago
- A Lasagne layer (and supporting Theano Ops) for the CRF-as-RNN layer.☆49Updated 4 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆90Updated 5 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- Generative moment matching networks☆149Updated 8 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- ☆117Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- ☆133Updated 7 years ago
- ☆57Updated 7 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 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
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- ScatWave is a Torch implementation of scattering using CUDA☆21Updated 7 years ago
- ☆219Updated 6 years ago