Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
☆189Mar 21, 2019Updated 7 years ago
Alternatives and similar repositories for ANIML
Users that are interested in ANIML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"☆49May 18, 2019Updated 7 years ago
- Meta-SGD Algorithms Implementation☆22Jul 18, 2024Updated 2 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
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,481May 16, 2019Updated 7 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,727Jan 19, 2020Updated 6 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.
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Dec 31, 2019Updated 6 years ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,228Sep 19, 2021Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆296Dec 14, 2021Updated 4 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆567Oct 4, 2018Updated 7 years ago
- TensorFlow 2.0 implementation of MAML.☆82Jul 12, 2019Updated 7 years ago
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- ☆19Dec 27, 2019Updated 6 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆141Dec 3, 2019Updated 6 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆355May 18, 2019Updated 7 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.
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Jul 10, 2019Updated 7 years ago
- Lifelong Learning via Progressive Distillation and Retrospection☆14Apr 2, 2019Updated 7 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,060Jul 17, 2023Updated 3 years ago
- ☆11Oct 8, 2020Updated 5 years ago
- Reproduce MAML in Pytorch with omniglot dataset.☆105Apr 23, 2020Updated 6 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆270Mar 22, 2019Updated 7 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,655Nov 26, 2018Updated 7 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Aug 19, 2021Updated 4 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,555Nov 24, 2020Updated 5 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.
- Meta Reinforcement Learning Experiments☆35Aug 22, 2017Updated 8 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆785Jun 2, 2025Updated last year
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆215May 15, 2022Updated 4 years ago
- A curated list of Learning resources☆11Mar 16, 2018Updated 8 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated last year
- A PyTorch Library for Meta-learning Research☆2,890Dec 16, 2025Updated 7 months ago
- Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning☆57Apr 3, 2018Updated 8 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆36Sep 15, 2019Updated 6 years ago
- ☆156Dec 31, 2019Updated 6 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.
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆265Sep 22, 2017Updated 8 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆151Jul 6, 2019Updated 7 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Dec 27, 2017Updated 8 years ago
- ☆19May 8, 2018Updated 8 years ago
- Hands On Reinforcement Learning with Python[Video], Published by Packt☆13Jan 14, 2021Updated 5 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27May 11, 2021Updated 5 years ago