An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
☆240Jul 7, 2020Updated 5 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:
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,058Jul 17, 2023Updated 2 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,480May 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
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆245Sep 2, 2024Updated last year
- MAML Implementation using Pytorch-lightning☆24May 30, 2022Updated 4 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☆2,882Dec 16, 2025Updated 5 months ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆880Dec 27, 2022Updated 3 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…☆41Oct 28, 2020Updated 5 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆258Mar 7, 2022Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Jun 27, 2022Updated 3 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,628Mar 25, 2022Updated 4 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆567Oct 4, 2018Updated 7 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆206Jul 25, 2024Updated last year
- ☆32Nov 22, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 years ago
- Reproduction of the IMAML paper☆28Feb 15, 2021Updated 5 years ago
- ☆156Dec 31, 2019Updated 6 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,727Jan 19, 2020Updated 6 years ago
- A Pytorch implementation of MAML☆61Jan 23, 2023Updated 3 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆66Dec 9, 2019Updated 6 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,558Nov 24, 2020Updated 5 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆108Jun 18, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,227Sep 19, 2021Updated 4 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Dec 31, 2019Updated 6 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆44Sep 19, 2018Updated 7 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆786Jun 2, 2025Updated 11 months ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆93Apr 8, 2019Updated 7 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 7 years ago
- A dataset of datasets for learning to learn from few examples☆803May 24, 2024Updated 2 years ago
- Meta-learning learning rates with higher☆12Sep 27, 2019Updated 6 years ago
- A classified list of meta learning papers based on realm.☆367Sep 29, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Memory efficient MAML using gradient checkpointing☆86Dec 30, 2019Updated 6 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆118Dec 3, 2019Updated 6 years ago
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆89Jul 20, 2022Updated 3 years ago
- ☆54Nov 22, 2019Updated 6 years ago
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆61Feb 14, 2022Updated 4 years ago