akosiorek / stacked_capsule_autoencodersLinks
☆80Updated 3 years ago
Alternatives and similar repositories for stacked_capsule_autoencoders
Users that are interested in stacked_capsule_autoencoders are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of the Stacked Capsule Autoencoders☆107Updated 4 years ago
- A PyTorch Implementation of Matrix Capsules with EM Routing☆91Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Code for Self-Routing Capsule Networks☆52Updated last month
- ☆125Updated 3 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆116Updated 5 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018☆32Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules☆30Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- PyTorch implementation of Stacked Capsule Auto-Encoders☆40Updated last year
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆122Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- ☆68Updated 6 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago
- The original code for the paper "Learning to Learn via Self-Critique".☆46Updated 6 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 6 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- ☆155Updated 5 years ago
- pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support☆93Updated 7 years ago