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transferlearning

jindongwang / transferlearning

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

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization domain-adaption

Updated Feb 18, 2025
Python

automl / auto-sklearn

Automated Machine Learning with scikit-learn

scikit-learn hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning smac meta-learning hyperparameter-search metalearning

Updated Oct 18, 2025
Python

learnables / learn2learn

A PyTorch Library for Meta-learning Research

pytorch maml meta-learning few-shot finetuning meta-rl metalearning learning2learn learn2learn meta-descent meta-optimization

Updated Jun 7, 2024
Python

floodsung / Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

deep-learning one-shot-learning meta-learning few-shot-learning learning-to-learn

Updated Nov 26, 2018

tristandeleu / pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch meta-learning few-shot-learning

Updated Jul 17, 2023
Python

tata1661 / FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

deep-learning paper papers one-shot-learning paddlepaddle meta-learning few-shot few-shot-learning low-shot few-shot-paper few-shot-papers

Updated Oct 14, 2025
Python

MaximeVandegar / Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

python machine-learning research reinforcement-learning deep-learning aes pytorch artificial-intelligence generative-model rl educational papers gans nerf 3d meta-learning inverse-rendering implementation-of-research-paper diffusion-models neural-radiance-fields

Updated Oct 12, 2025
Python

oscarknagg / few-shot

Repository for few-shot learning machine learning projects

machine-learning research pytorch maml meta-learning omniglot miniimagenet few-shot-learning

Updated Nov 25, 2019
Python

sicara / easy-few-shot-learning

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

machine-learning deep-learning pytorch image-classification meta-learning few-shot-learning few-shot-recognition few-shot-classifcation

Updated Nov 13, 2024
Python

floodsung / LearningToCompare_FSL

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

meta-learning few-shot-learning

Updated Oct 22, 2019
Python

RL-VIG / LibFewShot

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

pytorch image-classification meta-learning fine-tuning few-shot-learning

Updated Jan 11, 2025
Python

Duan-JM / awesome-papers-fewshot

Collection for Few-shot Learning

awesome-list meta-learning shot-learning few-shot-learning

Updated May 31, 2023
TeX

guan-yuan / Awesome-AutoML-and-Lightweight-Models

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.

tensorflow pytorch hyperparameter-optimization awesome-list quantization nas automl model-compression neural-architecture-search meta-learning architecture-search quantized-training model-acceleration automated-feature-engineering quantized-neural-network

Updated Jun 19, 2021

google-research / meta-dataset

A dataset of datasets for learning to learn from few examples

benchmark machine-learning tensorflow maml meta-learning few-shot-learning

Updated May 24, 2024
Jupyter Notebook

meta-transfer-learning

yaoyao-liu / meta-transfer-learning

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

transfer-learning meta-learning few-shot-learning mini-imagenet tiered-imagenet fewshot-cifar100

Updated Jun 2, 2025
Python

omerbsezer / Reinforcement_learning_tutorial_with_demo

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..

machine-learning tutorial reinforcement-learning deep-reinforcement-learning q-learning pomdps policy-gradient sarsa a3c dynamic-programming imitation-learning dyna td-learning actor-critic meta-learning

Updated Jan 22, 2019
Jupyter Notebook

weimingwill / awesome-federated-learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

machine-learning privacy data-privacy distributed-optimization meta-learning federated-learning federated-optimization differential-privacy-deep-learning federated-learning-framework non-iid decentralized-federated-learning communication-efficiency statistical-heterogeneity

Updated Oct 21, 2024
Shell

google / pyglove

Manipulating Python Programs

python machine-learning evolution manipulation meta-programming automl meta-learning symbolic-programming

Updated Oct 22, 2025
Python

mbs0221 / Multitask-Learning

Awesome Multitask Learning Resources

machine-learning deep-learning transfer-learning convex-optimization domain-adaptation multi-task-learning meta-learning federated-learning few-shot-learning sparse-learning

Updated Apr 13, 2021

metaopt / torchopt

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

deep-learning functional-programming optimization automatic-differentiation optimizer pytorch bilevel-optimization meta-learning differentiable-programming meta-rl meta-reinforcement-learning implicit-differentiation differentiable-optimization

Updated Oct 6, 2025
Python

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