Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
Jul 9, 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
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
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Implementation of papers in 100 lines of code.
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Tools for generating mini-ImageNet dataset and processing batches
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
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