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meta-learning x

194 search results found

Transferlearning ⭐ 12,494

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

Auto Sklearn ⭐ 7,262

Automated Machine Learning with scikit-learn

Learn2learn ⭐ 2,283

A PyTorch Library for Meta-learning Research

Pytorch Meta ⭐ 1,724

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

Fsl Mate ⭐ 1,611

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

Libfewshot ⭐ 771

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

Easy Few Shot Learning ⭐ 737

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

Meta Dataset ⭐ 679

A dataset of datasets for learning to learn from few examples

Pytorch Maml Rl ⭐ 645

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

Few Shot ⭐ 520

Repository for few-shot learning machine learning projects

Code for the paper "Meta-Learning Shared Hierarchies"

Metaoptnet ⭐ 480

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

Torchopt ⭐ 460

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

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

Papers In 100 Lines Of Code ⭐ 395

Implementation of papers in 100 lines of code.

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Deeptime ⭐ 313

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)

Pyglove ⭐ 311

Manipulating Python Programs

Robosumo ⭐ 280

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

Openml Python ⭐ 272

Python module to interface with OpenML

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

Metagym ⭐ 225

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Meta Detr ⭐ 219

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

Matchingnetworks ⭐ 209

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

Code for the paper "Evolved Policy Gradients"

Meta Weight Net ⭐ 189

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Meta Selflearning ⭐ 175

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

ProMP: Proximal Meta-Policy Search

Meta Tts ⭐ 151

Official repository of https://doi.org/10.1109/TASLP.2022.3167258. More up-to-date code is in "refactor" branch.

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Few_shot_meta_learning ⭐ 148

Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

My personal toolkit for PyTorch development.

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

Python Meta-Feature Extractor package.

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Tasksource ⭐ 103

Datasets collection and standardization preprocessings for NLP extreme multitask learning

Stylespeech ⭐ 103

Official implementation of Meta-StyleSpeech and StyleSpeech

Pytorch Maml ⭐ 100

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

Stylespeech ⭐ 100

PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

Graph meta learning via local subgraphs (NeurIPS 2020)

Hypernetworks ⭐ 95

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

Crossdomainfewshot ⭐ 93

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Meta Learning Lstm Pytorch ⭐ 92

pytorch implementation of Optimization as a Model for Few-shot Learning

Simple Cnaps ⭐ 89

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

code for ICCV19 paper "Deep Meta Metric Learning"

Maml Tensorflow ⭐ 86

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

Auto Lambda ⭐ 83

The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].

[ICLR'19] Meta-learning with differentiable closed-form solvers

Orbit Dataset ⭐ 82

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

Metar Cnn ⭐ 81

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

Code for "Fast Context Adaptation via Meta-Learning"

Meta Blocks ⭐ 75

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

Simple_shot ⭐ 72

St Metanet ⭐ 72

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

Resilient Swarm Communications With Meta Graph Convolutional Networks ⭐ 72

Meta graph convolutional neural network-assisted resilient swarm communications

Trans Inr ⭐ 66

Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022

(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning

Pytorch implementation of Meta-Learned Confidence for Few-shot Learning

Neuralprocesses ⭐ 60

A framework for composing Neural Processes in Python

Awesome Computervision ⭐ 60

Awesome-ComputerVision

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Metastyle ⭐ 59

MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer

AReLU: Attention-based-Rectified-Linear-Unit

Arxiv Daily ⭐ 58

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

Modular Metalearning ⭐ 57

Hebbianmetalearning ⭐ 55

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

Multidigitmnist ⭐ 54

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

Few Shot ⭐ 54

A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.

PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)

Learning2adaptforstereo ⭐ 49

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

Metaaudio A Few Shot Audio Classification Benchmark ⭐ 48

A new comprehensive and diverse few-shot acoustic classification benchmark.

Focal Iclr ⭐ 46

Code for FOCAL Paper Published at ICLR 2021

Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".

Tensorflow Implementation of MAML

Ssformers ⭐ 43

This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning (SCIENCE CHINA Information Sciences)".

Doubleadapt ⭐ 42

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

Cross Accent Maml Asr ⭐ 42

Meta-learning model agnostic (MAML) implementation for cross-accented ASR

Ntm Meta Learning ⭐ 40

A chainer implementation of Memory Augmented Neural Network

Simple Cnaps ⭐ 40

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022) and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (TPAMI 2022 - in submission)

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Meta Faster R Cnn ⭐ 38

Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'

Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Sib_meta_learn ⭐ 37

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Cdfsl Ata ⭐ 35

[IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Metadelta ⭐ 35

1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.

Animal Kingdom ⭐ 35

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

MLSys Workshop NeurIPS 2023 - Redco: A Lightweight Tool to Automate Distributed Training and Inference

Invariance Equivariance ⭐ 33

"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)

MetaModule provides extensions of PyTorch Module for meta learning

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Unicorn Maml ⭐ 32

PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

Nerf Meta ⭐ 30

NeRF Meta-Learning with PyTorch

Meta Paper Daily ⭐ 29

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)

Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation

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