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
- Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)☆13Jul 22, 2021Updated 4 years ago
- Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)☆19Jul 22, 2021Updated 4 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☆65Dec 9, 2019Updated 6 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.
- Code base for paper "Zero-Shot Cross-Lingual Transfer with Meta Learning"☆35Nov 8, 2024Updated last year
- ☆49Jul 30, 2023Updated 2 years ago
- Pytorch implementation of neural processes and variants☆29Jul 25, 2024Updated last year
- Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)☆17Mar 30, 2021Updated 5 years ago
- Novel image compression–encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing☆11Dec 21, 2018Updated 7 years ago
- “DEEP NETWORKS FOR COMPRESSED IMAGE SENSING”，this is my repetition☆11Jun 15, 2023Updated 2 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- ☆28Dec 12, 2020Updated 5 years ago
- Data Science Toolkit☆10Feb 19, 2017Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 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 last year
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper☆11Aug 3, 2016Updated 9 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
- [ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA☆16May 11, 2022Updated 3 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.
- [CEC 2019] Genetic Programming with Rademacher Complexity. Paper Link: https://ieeexplore.ieee.org/document/8790341☆18Jul 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 3 years ago
- ☆13Jul 13, 2018Updated 7 years ago
- ARML for ICLR 2020☆42May 22, 2020Updated 5 years ago
- Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis☆13Mar 17, 2021Updated 5 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Dec 3, 2019Updated 6 years ago
- Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)☆31Feb 16, 2018Updated 8 years ago
- A Library of Variational Dropouts☆15Jul 29, 2019Updated 6 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.
- Materials for short course on Bayesian inference at the Data Science Summer School☆13Jun 28, 2019Updated 6 years ago
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆36Jun 8, 2023Updated 2 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 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
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆12Aug 1, 2022Updated 3 years ago
- PyTorch implementation for "Gradient Surgery for Multi-Task Learning" https://arxiv.org/abs/2001.06782☆14Jul 6, 2020Updated 5 years ago