Alternatives and similar repositories for MetaDelta

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

• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• johnnyasd12 / awesome-few-shot-meta-learning
  awesome few shot / meta learning papers
  ☆53Updated 4 years ago
• littleredxh / HardNegative
  ☆53Updated 4 years ago
• imtiazziko / LaplacianShot
  Laplacian Regularized Few Shot Learning
  ☆84Updated 3 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆177Updated 3 years ago
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 5 years ago
• alldbi / SuperMix
  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
  ☆92Updated 3 years ago
• daooshee / Few-Shot-Learning
  ☆69Updated 5 years ago
• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆105Updated 4 years ago
• tiangeluo / fsl-global
  Few-Shot Learning with Global Class Representations
  ☆74Updated 3 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).
  ☆34Updated 6 years ago
• SeongwoongCho / adversarial-autoaugment-pytorch
  Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
  ☆21Updated 4 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆100Updated 2 years ago
• xialeiliu / Awesome-LongTailed-Recognition
  ☆94Updated 4 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• mboudiaf / TIM
  (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
  ☆122Updated 2 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆152Updated 4 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆55Updated 4 years ago
• VITA-Group / Self-PU
  [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…
  ☆69Updated 3 years ago
• alexrame / mixmo-pytorch
  Official Pytorch implementation of MixMo framework
  ☆84Updated 4 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 4 years ago
• sseung0703 / SSKD_SVD
  ☆51Updated 6 years ago
• huangleiBuaa / NormalizationSurvey
  This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application
  ☆85Updated 4 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆106Updated 4 years ago
• hongxin001 / JoCoR
  CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
  ☆127Updated last year
• liming-ai / OpenLT
  An open-source project for long-tail classification
  ☆39Updated 3 years ago
• Awesome-AutoAug-Algorithms / AWS-OHL-AutoAug
  An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation St…
  ☆48Updated 4 years ago
• yulu0724 / EmbeddingDistillation
  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
  ☆76Updated 6 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆105Updated 3 years ago
• seongmin-kye / MCT
  Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
  ☆71Updated 4 years ago