Alternatives and similar repositories for centroid-networks

Users that are interested in centroid-networks are comparing it to the libraries listed below

• srebuffi / lsd-clusters
  ☆45Updated 3 years ago
• ucbdrive / tafe-net
  Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)
  ☆56Updated 5 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated last year
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆67Updated 4 years ago
• hushell / sib_meta_learn
  Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
  ☆58Updated 5 years ago
• bertinetto / r2d2
  [ICLR'19] Meta-learning with differentiable closed-form solvers
  ☆117Updated 5 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 4 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 7 years ago
• rahafaljundi / Selfless-Sequential-Learning
  ☆26Updated 5 years ago
• Britefury / self-ensemble-visual-domain-adapt-photo
  Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'
  ☆74Updated 3 years ago
• musikisomorphie / swd
  unsupervised video and image generation
  ☆58Updated 5 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆95Updated 6 years ago
• renmengye / inc-few-shot-attractor-public
  Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
  ☆122Updated 5 years ago
• seongmin-kye / MCT
  Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
  ☆71Updated 4 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated 2 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• mil-tokyo / adr_da
  ☆34Updated 7 years ago
• mancinimassimiliano / adagraph
  PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
  ☆23Updated 2 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆38Updated 6 years ago
• AltschulerWu-Lab / MuLANN
  Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019
  ☆38Updated 4 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆122Updated 6 years ago
• YU1ut / imprinted-weights
  Code for 'Low-Shot Learning with Imprinted Weights'
  ☆71Updated 6 years ago
• AntreasAntoniou / Learning_to_Learn_via_Self-Critique
  The original code for the paper "Learning to Learn via Self-Critique".
  ☆46Updated 6 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 7 years ago
• AhmedAyad89 / Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
  ☆18Updated 6 years ago
• hytseng0509 / DropGrad
  Regularizing Meta-Learning via Gradient Dropout
  ☆53Updated 5 years ago
• jozhang97 / side-tuning
  sidetuning.berkeley.edu
  ☆71Updated 2 years ago
• dvornikita / fewshot_ensemble
  Ensembles of CNNs for few-shot image classification
  ☆53Updated 4 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 6 years ago