minkyujeon / MAML_PytorchLinks
MAML implementation with pytorch
☆11Updated 5 years ago
Alternatives and similar repositories for MAML_Pytorch
Users that are interested in MAML_Pytorch are comparing it to the libraries listed below
Sorting:
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆85Updated 3 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆65Updated 3 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Updated 5 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆245Updated last year
- Unsupervised Meta Learning for Image Classification (UMTRA) algorithm☆21Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆250Updated 3 years ago
- A Pytorch implementation of MAML☆58Updated 2 years ago
- Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"☆19Updated 2 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆211Updated 3 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆42Updated 7 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆55Updated 5 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 3 years ago
- [CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.☆42Updated 2 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Updated 2 years ago
- ☆156Updated 5 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆161Updated 4 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆79Updated last year
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆52Updated 4 years ago
- ☆39Updated 11 months ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- ☆15Updated 5 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Updated 5 years ago
- ☆35Updated 3 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- A classified list of meta learning papers based on realm.☆362Updated 3 years ago
- Reproduce MAML in Pytorch with omniglot dataset.☆107Updated 5 years ago