Alternatives and similar repositories for stacked_capsule_autoencoders

Users that are interested in stacked_capsule_autoencoders are comparing it to the libraries listed below

• phanideepgampa / stacked-capsule-networks
  Pytorch Implementation of the Stacked Capsule Autoencoders
  ☆108Updated 5 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆123Updated 6 years ago
• yl-1993 / Matrix-Capsules-EM-PyTorch
  A PyTorch Implementation of Matrix Capsules with EM Routing
  ☆91Updated 5 years ago
• renmengye / inc-few-shot-attractor-public
  Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
  ☆121Updated 5 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆67Updated 5 years ago
• psmmettes / hpn
  Hyperspherical Prototype Networks
  ☆67Updated 5 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆120Updated 2 years ago
• coder3000 / SR-CapsNet
  Code for Self-Routing Capsule Networks
  ☆52Updated 6 months ago
• apple / ml-capsules-inverted-attention-routing
  ☆124Updated 3 years ago
• shaohua0116 / MMAML-Classification
  An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…
  ☆140Updated 6 years ago
• yaohungt / Capsules-Inverted-Attention-Routing
  [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules
  ☆30Updated 5 years ago
• bertinetto / r2d2
  [ICLR'19] Meta-learning with differentiable closed-form solvers
  ☆118Updated 6 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆38Updated 7 years ago
• eambutu / snail-pytorch
  Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
  ☆148Updated 6 years ago
• dragen1860 / LearningToCompare-Pytorch
  Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
  ☆251Updated 7 years ago
• Gordonjo / versa
  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
  ☆69Updated 4 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆101Updated 5 years ago
• ucbdrive / tafe-net
  Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)
  ☆56Updated 5 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆175Updated 4 years ago
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 5 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 5 years ago
• maple-research-lab / CapProNet-Pytorch
  Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018
  ☆32Updated 7 years ago
• xinshi-chen / l2stop
  Learning To Stop While Learning To Predict
  ☆34Updated 3 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆57Updated 4 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆70Updated 5 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 5 years ago
• likesiwell / LGM-Net
  Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
  ☆84Updated 5 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 8 years ago
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆183Updated 3 years ago
• xinzheli1217 / learning-to-self-train
  Learning to Self-Train for Semi-Supervised Few-Shot
  ☆94Updated 3 years ago