Alternatives and similar repositories for few_shot_mAP_public:

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

• sungraepark / Adversarial-Dropout
  ☆32Updated 5 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆17Updated 5 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• wOOL / Learning_to_Compare
  Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"
  ☆29Updated 7 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• YJHMITWEB / GLoMo-tensorflow
  This is a tensorflow implementation of 2018 NIPS paper: [GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.…
  ☆14Updated 6 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• MatanBN / XRTransfer
  Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
  ☆16Updated 5 years ago
• sbos / gmn
  Generative Matching Networks
  ☆30Updated 7 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 9 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Updated 7 years ago
• TheShadow29 / infnet-spen
  TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
  ☆30Updated 6 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• sergulaydore / Feature-Grouping-Regularizer
  Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.
  ☆20Updated 5 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 5 years ago
• sun254 / awesome-transfer-learning
  a list of recent papers on transfer learning
  ☆24Updated 7 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• mengf1 / PAL
  Policy based Active Learning with DQN (EMNLP-2017)
  ☆88Updated 6 years ago
• rcalland / deep-INFOMAX
  Chainer implementation of deep-INFOMAX
  ☆34Updated 6 years ago
• yanweifu / embedding_zero-shot-learning
  ☆20Updated 8 years ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆40Updated 6 years ago
• mganjoo / zslearning
  Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.
  ☆53Updated 10 years ago
• uwnlp / verb-attributes
  Contains code for the EMNLP paper `Learning Linguistic Attributes for Zero-Shot Verb Classification'
  ☆26Updated 6 years ago
• zihangm / RAL_GNN
  ☆20Updated 6 years ago
• Shuangfei / vgan
  ☆18Updated 8 years ago
• ywatanabex / ntm-meta-learning
  A chainer implementation of Memory Augmented Neural Network
  ☆48Updated 8 years ago
• DSKSD / Pytorch_models
  PyTorch study
  ☆14Updated 7 years ago