Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Transferlearning | 12,494 | 2 months ago | 14 | mit | Python | |||||
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 | ||||||||||
Easy Few Shot Learning | 737 | 3 months ago | 10 | September 25, 2023 | 5 | mit | Python | |||
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification. | ||||||||||
Meta Dataset | 679 | a year ago | 37 | apache-2.0 | Python | |||||
A dataset of datasets for learning to learn from few examples | ||||||||||
Few Shot | 520 | 4 years ago | 19 | mit | Python | |||||
Repository for few-shot learning machine learning projects | ||||||||||
Awesome Federated Learning | 482 | a year ago | mit | Shell | ||||||
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc. | ||||||||||
Cfnet | 474 | 6 years ago | 24 | mit | Matlab | |||||
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed.. | ||||||||||
Pykale | 415 | 2 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! | ||||||||||
Papers In 100 Lines Of Code | 395 | 5 months ago | mit | Python | ||||||
Implementation of papers in 100 lines of code. | ||||||||||
Multitask Learning | 374 | 3 years ago | 2 | |||||||
Awesome Multitask Learning Resources | ||||||||||
Reinforcement_learning_tutorial_with_demo | 357 | 5 years ago | Jupyter Notebook | |||||||
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc.. |