All Categories → Learning Resources → meta-learning

Top 105 meta-learning open source projects

CDFSL-ATA
[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Open-L2O
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
maml-rl-tf2
Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
MeTAL
Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
Meta-TTS
Official repository of https://arxiv.org/abs/2111.04040v1
maml-tensorflow
This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.
meta-interpolation
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
MetaLifelongLanguage
Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
metagenrl
MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.
mliis
Code for meta-learning initializations for image segmentation
MetaHeac
This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
meta-SR
Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)
LearningToCompare-Tensorflow
Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.
mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
HebbianMetaLearning
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
meta-learning-progress
Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
SAN
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
MetaGym
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
sib meta learn
Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
FUSION
PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
simple-cnaps
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)
MLSR
Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
Learning-To-Compare-For-Text
Learning To Compare For Text , Few shot learning in text classification
MetaD2A
Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning.
tesp
Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
61-105 of 105 meta-learning projects