Alternatives and similar repositories for HEX_experiments

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

• hujiecpp / InformationCompetingProcess
  The project page of paper: Information Competing Process for Learning Diversified Representations [NeurIPS 2019]
  ☆18Updated 5 years ago
• VisionLearningGroup / visda-2019-public
  ☆57Updated 2 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
• LLNL / selfsupervised
  Deep Learning Self-Supervised source code related to Mundenk et al. CVPR 2018
  ☆18Updated 7 years ago
• minyoungg / wmigftl
  models and tools for -What makes ImageNet good for Transfer Learning?
  ☆25Updated 7 years ago
• VisionLearningGroup / visda-2018-public
  ☆45Updated 6 years ago
• crashmoon / MAML-Pytorch-Multi-GPUs
  pytorch maml with Multi-GPUs, fast and simplest implementation
  ☆13Updated 4 years ago
• mil-tokyo / adr_da
  ☆34Updated 7 years ago
• FANG-Xiaolin / pytorch-CoopNets
  pytorch implementation for CoopNet
  ☆27Updated 5 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 5 years ago
• Britefury / self-ensemble-visual-domain-adapt
  Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'
  ☆194Updated 6 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• mancinimassimiliano / latent_domains_DA
  Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.
  ☆23Updated 5 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆85Updated 7 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 4 years ago
• postBG / DTA.pytorch
  Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation presented at ICCV 2019.
  ☆163Updated 2 years ago
• neuroailab / LocalAggregation-Pytorch
  ☆88Updated 5 years ago
• neuroailab / LocalAggregation
  Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"
  ☆59Updated 4 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated 2 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 4 years ago
• liulu112601 / MahiNet
  TKDE: Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
  ☆12Updated 6 years ago
• hushell / sib_meta_learn
  Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
  ☆58Updated 5 years ago
• YU1ut / imprinted-weights
  Code for 'Low-Shot Learning with Imprinted Weights'
  ☆71Updated 6 years ago
• AhmedAyad89 / Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
  ☆18Updated 6 years ago
• tylersco / adapted_deep_embeddings
  Code associated with "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning"
  ☆27Updated 2 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆60Updated 4 years ago
• tonylins / simclr-converter
  A PyTorch converter for SimCLR checkpoints
  ☆109Updated 4 years ago
• chhwang / cmcl
  This code is for the paper "Confident Multiple Choice Learning".
  ☆17Updated 7 years ago
• yogeshbalaji / Meta-Learning-Domain-Generalization
  ☆30Updated 7 years ago