Trending repositories for topic meta-learning
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.
Implementation of papers in 100 lines of code.
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
Implementation of papers in 100 lines of code.
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
Implementation of papers in 100 lines of code.
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'
Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'
🎓 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.
Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'
Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
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.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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.
Implementation of papers in 100 lines of code.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Datasets collection and preprocessings framework for NLP extreme multitask learning
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
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.
Datasets collection and preprocessings framework for NLP extreme multitask learning
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).
Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'
Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'
Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)
Implementation of papers in 100 lines of code.
Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
[CVPR2022] Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
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.
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
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 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
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.
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Datasets collection and preprocessings framework for NLP extreme multitask learning
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
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
Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).
Implementation of papers in 100 lines of code.
Distortion invariant feature learning for image restoration from a causality perspective
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models (CVPR 2023)
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
Datasets collection and preprocessings framework for NLP extreme multitask learning
[CVPR2022] Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).
An index of algorithms for few-shot learning/meta-learning on graphs
[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'
Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'