Metaheac
This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Transferlearning | 12,494 | 3 months ago | 14 | mit | Python | |||||
| Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 | ||||||||||
| Meta Transfer Learning | 710 | a year ago | 37 | mit | Python | |||||
| TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019) | ||||||||||
| Pykale | 415 | 3 months ago | 12 | April 12, 2022 | 9 | mit | Python | |||
| Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work! | ||||||||||
| Multitask Learning | 374 | 3 years ago | 2 | |||||||
| Awesome Multitask Learning Resources | ||||||||||
| G Meta | 96 | a year ago | 3 | Python | ||||||
| Graph meta learning via local subgraphs (NeurIPS 2020) | ||||||||||
| Awesome Artificial Intelligence Research | 80 | a year ago | ||||||||
| A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc. | ||||||||||
| Arelu | 58 |  | 1 | 3 years ago | 1 | January 23, 2021 | 1 | mit | Jupyter Notebook | |
| AReLU: Attention-based-Rectified-Linear-Unit | ||||||||||
| Iclr2019 Rl Papers | 37 | 5 years ago | ||||||||
| The Reinforcement-Learning-Related Papers of ICLR 2019 | ||||||||||
| Invariance Equivariance | 33 | a year ago | 1 | mit | Python | |||||
| "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021) | ||||||||||
| Meta Learning Progress | 26 | 2 years ago | 2 | gpl-3.0 | CSS | |||||
| Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems. | ||||||||||
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Python
Transfer Learning
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