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This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
A curated list of references for MLOps
Perform data science on data that remains in someone else's server
Automated Machine Learning with scikit-learn
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
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
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
FSL-Mate: A collection of resources for few-shot learning (FSL).
Master Federated Learning in 2 Hours—Run It on Your PC!