Statistics for topic meta-learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

This is the code implementation for the GMML algorithm.

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

This is the code implementation for the GMML algorithm.

Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

[CVPR2022] Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

Implementation of papers in 100 lines of code.

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

This is the code implementation for the GMML algorithm.

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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

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

Automated Machine Learning with scikit-learn

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

This is the code implementation for the GMML algorithm.

🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

This is the code implementation for the GMML algorithm.

🎉🎨 This repository contains a reading list of papers with code on **Meta-Learning** and ***Meta-Reinforcement-Learning*

Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)

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

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

Implementation of papers in 100 lines of code.

A PyTorch Library for Meta-learning Research

NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference

[Paper][ACM MM 2023] MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

定时获取谷歌学术和arxiv论文的相关更新 (代码只有一个py文件，较简单有注释)

Framework for meta-optimisation in AutoML tasks

Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).