Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
☆215May 15, 2022Updated 4 years ago
Alternatives and similar repositories for MAML-TensorFlow
Users that are interested in MAML-TensorFlow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,724Jan 19, 2020Updated 6 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,482May 16, 2019Updated 7 years ago
- TensorFlow 2.0 implementation of MAML.☆83Jul 12, 2019Updated 7 years ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,224Sep 19, 2021Updated 5 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆83Oct 10, 2017Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- Code for the paper "On First-Order Meta-Learning Algorithms"☆1,043May 20, 2023Updated 3 years ago
- ☆156Dec 31, 2019Updated 6 years ago
- Tensorflow Implementation of MAML☆54Dec 20, 2017Updated 8 years ago
- This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.☆16Nov 3, 2017Updated 8 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆190Mar 21, 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
- Implementation of MAML and Reptile algorithms with a JS demo on the sine regression toy experiment☆16May 1, 2021Updated 5 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,552Nov 24, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 4 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆566Oct 4, 2018Updated 8 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,657Nov 26, 2018Updated 7 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆246Sep 2, 2024Updated 2 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27May 11, 2021Updated 5 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago
- Python implementation MAML (model-agnostic meta learning)☆30Feb 2, 2021Updated 5 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Jul 7, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A TensorFlow 2.0 with eager execution implementation of Pytorch OpenAI few-shot regression toy example☆16Jun 24, 2019Updated 7 years ago
- A toy example of meta learning on mnist☆17Mar 14, 2019Updated 7 years ago
- Omniglot data set for one-shot learning☆1,422Feb 1, 2023Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆100Nov 23, 2020Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆123Apr 27, 2019Updated 7 years ago
- Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon☆12Feb 22, 2019Updated 7 years ago
- Proximal Policy Optimization with Model-Agnostic Meta-Learning for Battery Energy Storage System Management in a Multi-Microgrid☆14May 14, 2026Updated 5 months ago
- A PyTorch Library for Meta-learning Research☆2,893Dec 16, 2025Updated 10 months ago
- The original code for the paper "Learning to Learn via Self-Critique".☆49Aug 10, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Regularized MAML for time-series data prediction☆16Jun 8, 2022Updated 4 years ago
- Meta learning framework with Tensorflow 2.0☆117Dec 15, 2022Updated 3 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆380Nov 1, 2021Updated 4 years ago
- ☆11Jan 10, 2020Updated 6 years ago
- MetaModule provides extensions of PyTorch Module for meta learning☆44Dec 16, 2022Updated 3 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆312Apr 30, 2019Updated 7 years ago
- Codes for the paper "Multi-task Hierarchical Adversarial Inverse Reinforcement Learning"☆19May 20, 2023Updated 3 years ago