dropclass speakerDropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
CDFSL-ATA[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
PAMLPersonalizing Dialogue Agents via Meta-Learning
Open-L2OOpen-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
maml-rl-tf2Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
MeTALOfficial PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
Meta-TTSOfficial repository of https://arxiv.org/abs/2111.04040v1
maml-tensorflowThis repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.
meta-interpolationSource code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
MetaLifelongLanguageRepository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
metagenrlMetaGenRL, 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.
mliisCode for meta-learning initializations for image segmentation
Meta-DETRMeta-DETR: Official PyTorch Implementation
MetaHeacThis is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
meta-SRPytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)
FSL-MateFSL-Mate: A collection of resources for few-shot learning (FSL).
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
HebbianMetaLearningMeta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
MetaBIN[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
pymfePython Meta-Feature Extractor package.
meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Nearest-Celebrity-FaceTensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.
StyleSpeechOfficial implementation of Meta-StyleSpeech and StyleSpeech
SAN[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
MetaGymCollection of Reinforcement Learning / Meta Reinforcement Learning Environments.
sib meta learnCode of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
simple-cnapsSource 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)
MLSRSource code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
NSLImplementation for <Neural Similarity Learning> in NeurIPS'19.
FOCAL-ICLRCode for FOCAL Paper Published at ICLR 2021
MetaD2AOfficial PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
LibFewShotLibFewShot: A Comprehensive Library for Few-shot Learning.
tespImplementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"