There are 58 repositories under meta-learning topic.
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
Implementation of papers in 100 lines of code.
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)
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.
Collection for Few-shot Learning
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.
A dataset of datasets for learning to learn from few examples
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..
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Awesome Multitask Learning Resources
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
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"
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
[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)
A classified list of meta learning papers based on realm.
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
OpenML's Python API for a World of Data and More 💫
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models