Alternatives and similar repositories for MetaDelta:

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

• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 3 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆149Updated 4 years ago
• thuml / CoTuning
  Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
  ☆40Updated 2 years ago
• hytseng0509 / DropGrad
  Regularizing Meta-Learning via Gradient Dropout
  ☆52Updated 4 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
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 4 years ago
• imtiazziko / LaplacianShot
  Laplacian Regularized Few Shot Learning
  ☆82Updated 2 years ago
• PerdonLiu / CSE-Autoloss
  Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
  ☆56Updated 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
  ☆104Updated 3 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆173Updated 3 years ago
• tiangeluo / fsl-global
  Few-Shot Learning with Global Class Representations
  ☆74Updated 2 years ago
• zhoumu53 / few_shot_learning
  Awesome papers in few-shot learning/one-shot learning.
  ☆30Updated 6 years ago
• dvornikita / fewshot_ensemble
  Ensembles of CNNs for few-shot image classification
  ☆53Updated 4 years ago
• yaoyao-liu / tiered-imagenet-tools
  Tools for generating tieredImageNet dataset and processing batches
  ☆76Updated 4 years ago
• alibaba-edu / Ranking-based-Instance-Selection
  Ranking-based-Instance-Selection
  ☆32Updated 3 years ago
• likesiwell / LGM-Net
  Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
  ☆84Updated 4 years ago
• RaptorMai / CVPR20_CLVision_challenge
  1'st Place approach for CVPR 2020 Continual Learning Challenge
  ☆46Updated 4 years ago
• Yikai-Wang / ICI-FSL
  This repository contains the code for Instance Credibility Inference (ICI).
  ☆83Updated 3 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• 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
• henrikmarklund / arm
  ☆82Updated last year
• ylsung / gnn_few_shot_cifar100
  This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
  ☆86Updated 6 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated last year
• nupurkmr9 / S2M2_fewshot
  ☆114Updated 4 years ago
• seongmin-kye / MCT
  Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
  ☆71Updated 4 years ago
• jizongFox / pytorch-randaugment
  Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.
  ☆35Updated 2 years ago
• amazon-science / few-shot-baseline
  ☆26Updated 3 years ago
• cambridge-mlg / cnaps
  Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…
  ☆160Updated 4 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago