Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
Nov 29, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Automated Machine Learning with scikit-learn
A PyTorch Library for Meta-learning Research
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
FSL-Mate: A collection of resources for few-shot learning (FSL).
Repository for few-shot learning machine learning projects
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Collection for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Implementation of papers in 100 lines of code.
A dataset of datasets for learning to learn from few examples
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
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..
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Awesome Multitask Learning Resources
Manipulating Python Programs
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
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