MAML implementation (tensorflow)
☆15Apr 25, 2019Updated 7 years ago
Alternatives and similar repositories for maml
Users that are interested in 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:
- This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.☆16Nov 3, 2017Updated 8 years ago
- ☆11Oct 8, 2020Updated 5 years ago
- Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)☆13Jul 22, 2021Updated 4 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Jan 18, 2019Updated 7 years ago
- Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"☆10Apr 7, 2020Updated 6 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.
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Mar 24, 2023Updated 3 years ago
- Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)☆19Jul 22, 2021Updated 4 years ago
- a respectively concise Implemention of Maml in Module way☆30Oct 20, 2019Updated 6 years ago
- Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)☆18Apr 26, 2020Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆66Dec 9, 2019Updated 6 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆18Oct 25, 2022Updated 3 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆89Jul 20, 2022Updated 3 years ago
- ☆28Dec 12, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Data Science Toolkit☆10Feb 19, 2017Updated 9 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆67Dec 18, 2021Updated 4 years ago
- 本研究基于孪生网络和N-way K-shot学习策略，创新提出了一种结合transformer的心电信号分类架构，命名为SMC-Net（Siamese Meta-learning Contrastive Neural Network）。该模型通过孪生网络的结构特性和元学习的…☆18Jun 1, 2024Updated 2 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- The code for the paper, 'Meta-Curvature, Eunbyung Park and Junier Oliver, NeurIPS 2019'☆11Jan 20, 2020Updated 6 years ago
- Meta-learning learning rates with higher☆12Sep 27, 2019Updated 6 years ago
- Memory efficient MAML using gradient checkpointing☆86Dec 30, 2019Updated 6 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆83Oct 10, 2017Updated 8 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.
- [ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA☆16May 11, 2022Updated 4 years ago
- ☆19Dec 13, 2019Updated 6 years ago
- [CEC 2019] Genetic Programming with Rademacher Complexity. Paper Link: https://ieeexplore.ieee.org/document/8790341☆19Jul 25, 2023Updated 2 years ago
- [TPAMI 2023] Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. Paper Link: https://arxiv.org/abs/2209.08907☆16Aug 5, 2024Updated last year
- MAML Implementation using Pytorch-lightning☆24May 30, 2022Updated 4 years ago
- ☆13Jul 13, 2018Updated 7 years ago
- ARML for ICLR 2020☆42May 22, 2020Updated 6 years ago
- Simple and extensible hypergradient for PyTorch☆18Feb 23, 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
- 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.
- A Library of Variational Dropouts☆15Jul 29, 2019Updated 6 years ago
- Materials for short course on Bayesian inference at the Data Science Summer School☆13Jun 28, 2019Updated 7 years ago
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)☆13Jan 21, 2020Updated 6 years ago
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆37Jun 8, 2023Updated 3 years ago
- ☆15Feb 12, 2021Updated 5 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated last year
- Code for Episodic Memory Reader (EMR) https://arxiv.org/abs/1903.06164☆15Nov 16, 2022Updated 3 years ago