Alternatives and similar repositories for torch_maml

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

• miguealanmath / MAML-Pytorch
  Reproduce MAML in Pytorch with omniglot dataset.
  ☆104Updated 5 years ago
• Runist / torch_meta_sgd
  ☆14Updated 2 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆158Updated 3 months ago
• JnchinZ / Prototypical-Networks-for-image-classification
  This is a very simple implementation for the NIPS 2017 paper Prototypical Networks for Few-shot Learning.
  ☆21Updated 3 years ago
• Jityan / sslprotonet
  Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"
  ☆24Updated 7 months ago
• rucmlcv / IEPT_FSL
  ☆34Updated 3 years ago
• NWPUZhoufei / LDP-Net
  ☆43Updated 2 years ago
• dragen1860 / MAML-Pytorch
  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
  ☆2,406Updated 6 years ago
• shirleyzhu233 / PyTorch-MAML
  A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
  ☆237Updated 9 months ago
• guoXuehong77 / transferlearning
  Everything about Transfer Learning and Domain Adaptation--迁移学习
  ☆16Updated 4 years ago
• Jityan / SCLfewshot
  The code for "SCL: Self-supervised contrastive learning for few-shot image classification"
  ☆16Updated 7 months ago
• hrdwsong / ProtoNet-Paddle
  论文复现：Prototypical Networks for Few-shot Learning
  ☆40Updated 3 years ago
• MasLiang / Learning-without-Forgetting-using-Pytorch
  This is the Pytorch implementation of LwF
  ☆76Updated 5 months ago
• yinboc / few-shot-meta-baseline
  Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
  ☆640Updated 3 years ago
• WangJingyao07 / Adaptive-Sampler
  [IJCV 2024] Official code for "Towards Task Sampler Learning for Meta-Learning"
  ☆11Updated last week
• AntreasAntoniou / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆809Updated last year
• LAMDA-CL / Awesome-Few-Shot-Class-Incremental-Learning
  Awesome Few-Shot Class-Incremental Learning
  ☆239Updated last year
• YuhaoWong0103 / fsl_ts
  few shot learning (MAML) for time series prediction
  ☆12Updated 4 years ago
• mkara44 / f-clswgan_pytorch
  ☆19Updated 4 years ago
• Fei-Long121 / DeepBDC
  The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).
  ☆179Updated last year
• jindongwang / tlbook-code
  Code for Transfer Learning book--《迁移学习导论》配套代码
  ☆295Updated last year
• cd-xlyang / Deep-Semi-supervised-Learning
  A collection of deep semi-supervised learning resources
  ☆12Updated 2 years ago
• zhangbq-research / Prototype_Completion_for_FSL
  ☆58Updated 3 years ago
• baiksung / MeTAL
  Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
  ☆64Updated 3 years ago
• icoz69 / CEC-CVPR2021
  Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"
  ☆165Updated 3 years ago
• DRSAD / iCaRL
  ☆99Updated 2 years ago
• ngailapdi / LWF
  Implementation of Learning without Forgetting paper
  ☆132Updated 4 years ago
• Runist / MAML-keras
  Using keras and tf build MAML
  ☆52Updated 2 years ago
• xjtushujun / MLR-SNet
  This is an official PyTorch implementation of MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks
  ☆9Updated 2 years ago
• ma-xu / Open-Set-Recognition
  Open Set Recognition
  ☆161Updated 3 years ago