Alternatives and similar repositories for HEX_experiments

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

• VisionLearningGroup / visda-2019-public
  ☆57Updated 2 years ago
• hujiecpp / InformationCompetingProcess
  The project page of paper: Information Competing Process for Learning Diversified Representations [NeurIPS 2019]
  ☆18Updated 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
• aws-samples / d-SNE
  Implementation of our proposed algorithm in domain adaptation for image classification
  ☆67Updated 5 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
• bertinetto / r2d2
  [ICLR'19] Meta-learning with differentiable closed-form solvers
  ☆117Updated 5 years ago
• neuroailab / LocalAggregation
  Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"
  ☆59Updated 4 years ago
• YU1ut / imprinted-weights
  Code for 'Low-Shot Learning with Imprinted Weights'
  ☆71Updated 6 years ago
• VisionLearningGroup / visda-2018-public
  ☆45Updated 7 years ago
• hushell / sib_meta_learn
  Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
  ☆58Updated 5 years ago
• liulu112601 / MahiNet
  TKDE: Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
  ☆12Updated 6 years ago
• daviswer / fewshotlocal
  Few-Shot Learning with Localization in Realistic Settings
  ☆48Updated 2 months ago
• maple-research-lab / AET
  Auto-Encoding Transformations (AETv1), CVPR 2019
  ☆109Updated 6 years ago
• crashmoon / MAML-Pytorch-Multi-GPUs
  pytorch maml with Multi-GPUs, fast and simplest implementation
  ☆13Updated 4 years ago
• kibok90 / cvpr2018-hnd
  CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition
  ☆39Updated 7 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 6 years ago
• minyoungg / wmigftl
  models and tools for -What makes ImageNet good for Transfer Learning?
  ☆25Updated 7 years ago
• Mid-Push / Moving-Semantic-Transfer-Network
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Updated 7 years ago
• gabrielhuang / centroid-networks
  Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"
  ☆23Updated 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
• tonylins / simclr-converter
  A PyTorch converter for SimCLR checkpoints
  ☆109Updated 4 years ago
• xudonmao / VMT
  ☆19Updated 6 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆85Updated 7 years ago
• LLNL / selfsupervised
  Deep Learning Self-Supervised source code related to Mundenk et al. CVPR 2018
  ☆18Updated 7 years ago
• ServiceNow / TADAM
  The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …
  ☆107Updated 3 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 4 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 5 years ago
• AhmedAyad89 / Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
  ☆18Updated 6 years ago
• renmengye / inc-few-shot-attractor-public
  Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
  ☆122Updated 5 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