The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
☆41Oct 28, 2020Updated 5 years ago
Alternatives and similar repositories for HowToTrainYourMAMLPytorch
Users that are interested in HowToTrainYourMAMLPytorch 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 learning rates with higher☆12Sep 27, 2019Updated 6 years ago
- ☆11Oct 8, 2020Updated 5 years ago
- 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
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆21Sep 18, 2020Updated 6 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
- ☆15Jul 1, 2020Updated 6 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,059Jul 17, 2023Updated 3 years ago
- Implementation of different variants of Parseval metric☆14Nov 3, 2014Updated 11 years ago
- ☆127Jun 3, 2024Updated 2 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆14Feb 15, 2022Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆86Dec 30, 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.
- Statistical adaptive stochastic optimization methods☆32Mar 28, 2020Updated 6 years ago
- Pytorch implementation of COIN++ 🍁☆76Jul 13, 2022Updated 4 years ago
- Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.☆103Jul 23, 2021Updated 5 years ago
- Convex potential flows☆87Nov 19, 2021Updated 4 years ago
- Program that automatically locks the screen when a face is not detected☆14Jun 18, 2013Updated 13 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆61Jan 19, 2020Updated 6 years ago
- ☆22Mar 7, 2021Updated 5 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆66Dec 9, 2019Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Dec 9, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Data Science Toolkit☆10Feb 19, 2017Updated 9 years ago
- ☆22Dec 3, 2021Updated 4 years ago
- Lifelong Learning via Progressive Distillation and Retrospection☆14Apr 2, 2019Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- Discrete Normalizing Flows implemented in PyTorch☆116Oct 4, 2021Updated 4 years ago
- ☆10Jul 24, 2023Updated 3 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25May 13, 2019Updated 7 years ago
- [CEC 2019] Genetic Programming with Rademacher Complexity. Paper Link: https://ieeexplore.ieee.org/document/8790341☆19Jul 25, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆34Jul 17, 2026Updated 2 months ago
- ☆17Jun 12, 2018Updated 8 years ago
- Jump to better conclusions: SCAN both left and right☆11Jan 24, 2019Updated 7 years ago
- ☆29Mar 18, 2023Updated 3 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
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- Preconditioned Conjugate Gradient in Pytorch☆142Feb 14, 2024Updated 2 years ago