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

Implementation of papers in 100 lines of code.

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).

🦞 Just talk to your agent — it learns and EVOLVES 🧬.

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

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)

[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

Manipulating Python Programs

Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

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