A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
☆246Sep 2, 2024Updated 2 years ago
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)☆2,483May 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…☆827Dec 5, 2023Updated 2 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Jul 7, 2020Updated 6 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆90Jul 20, 2022Updated 4 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,060Jul 17, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A PyTorch Library for Meta-learning Research☆2,894Dec 16, 2025Updated 8 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
- Meta-learning learning rates with higher☆12Sep 27, 2019Updated 6 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,726Jan 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
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆45Jun 29, 2024Updated 2 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆655Oct 10, 2021Updated 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Reproduce MAML in Pytorch with omniglot dataset.☆105Apr 23, 2020Updated 6 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆434Jul 31, 2020Updated 6 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆44Sep 19, 2018Updated 7 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆257Mar 7, 2022Updated 4 years ago
- Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)☆35Mar 27, 2023Updated 3 years ago
- ☆38Nov 4, 2024Updated last year
- 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
- 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.
- Code for reproducing meta-learning for cross-lingual transfer learning in NLU and QA☆13Aug 17, 2021Updated 5 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Jun 2, 2020Updated 6 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Nov 2, 2021Updated 4 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,626Mar 25, 2022Updated 4 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆93Apr 8, 2019Updated 7 years ago
- ☆15Oct 6, 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.
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated 2 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- ☆12Sep 22, 2021Updated 4 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆567Oct 4, 2018Updated 7 years ago
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆21Sep 18, 2020Updated 5 years ago
- Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"☆37Oct 26, 2020Updated 5 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Sep 22, 2022Updated 3 years ago