A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
☆245Sep 2, 2024Updated last year
Alternatives and similar repositories for PyTorch-MAML
Users that are interested in PyTorch-MAML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,479May 16, 2019Updated 7 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆826Dec 5, 2023Updated 2 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆240Jul 7, 2020Updated 5 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆89Jul 20, 2022Updated 3 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,058Jul 17, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A PyTorch Library for Meta-learning Research☆2,885Dec 16, 2025Updated 5 months ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆67Dec 18, 2021Updated 4 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,724Jan 19, 2020Updated 6 years ago
- Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)☆17Mar 30, 2021Updated 5 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆655Oct 10, 2021Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆257Mar 7, 2022Updated 4 years ago
- MAML and Reptile sine wave regression example in PyTorch☆18Jan 26, 2020Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆66Dec 9, 2019Updated 6 years ago
- Reproduction of the IMAML paper☆28Feb 15, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Reproduce MAML in Pytorch with omniglot dataset.☆105Apr 23, 2020Updated 6 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆44Sep 19, 2018Updated 7 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆25Sep 22, 2022Updated 3 years ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,228Sep 19, 2021Updated 4 years ago
- ☆11Oct 8, 2020Updated 5 years ago
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆391Nov 22, 2022Updated 3 years ago
- Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)☆35Mar 27, 2023Updated 3 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 4 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆93Apr 8, 2019Updated 7 years ago
- Repository for few-shot learning machine learning projects☆1,283Nov 25, 2019Updated 6 years ago
- ☆12Sep 22, 2021Updated 4 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆567Oct 4, 2018Updated 7 years ago
- ☆156Dec 31, 2019Updated 6 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Jul 12, 2019Updated 6 years ago
- ARML for ICLR 2020☆42May 22, 2020Updated 6 years ago
- Memory efficient MAML using gradient checkpointing☆86Dec 30, 2019Updated 6 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆785Jun 2, 2025Updated last year
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Aug 4, 2021Updated 4 years ago
- Official code for ProtoDiff