Implementation of Meta-Learning with Latent Embedding Optimization
☆313Apr 30, 2019Updated 7 years ago
Alternatives and similar repositories for leo
Users that are interested in leo are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated 2 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Jun 20, 2022Updated 4 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
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,160Dec 14, 2021Updated 4 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆785Jun 2, 2025Updated last year
- 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.
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Jun 2, 2020Updated 6 years ago
- A dataset of datasets for learning to learn from few examples☆803May 24, 2024Updated 2 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆118Dec 3, 2019Updated 6 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆572Jun 26, 2019Updated 7 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,724Jan 19, 2020Updated 6 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242May 4, 2019Updated 7 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆434Jul 31, 2020Updated 6 years ago
- ☆523Jul 5, 2021Updated 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.
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆163Jan 14, 2021Updated 5 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆566Oct 4, 2018Updated 7 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆159Jul 29, 2019Updated 7 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,059Jul 17, 2023Updated 3 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Apr 27, 2020Updated 6 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆92Apr 8, 2019Updated 7 years ago
- Code for the paper "On First-Order Meta-Learning Algorithms"☆1,044May 20, 2023Updated 3 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,483May 16, 2019Updated 7 years ago
- ☆375Jan 22, 2021Updated 5 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.
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Dec 4, 2020Updated 5 years ago
- ☆573Mar 1, 2023Updated 3 years ago
- The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.☆20Jul 28, 2020Updated 6 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆201Jun 20, 2023Updated 3 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆311Aug 30, 2021Updated 5 years ago
- A curated list of Meta-Learning resources/papers.☆552Dec 21, 2020Updated 5 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,076Oct 22, 2019Updated 6 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆111Jun 24, 2018Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,625Mar 25, 2022Updated 4 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆99Oct 3, 2023Updated 2 years ago
- ☆91Mar 21, 2022Updated 4 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Mar 31, 2020Updated 6 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆208Jul 25, 2024Updated 2 years ago
- A PyTorch Library for Meta-learning Research☆2,894Dec 16, 2025Updated 9 months ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Jul 5, 2021Updated 5 years ago