Meta-HAR

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

An archiving tool with an IM-style interface that prioritizes privacy and accessibility, integrated with various archival services including Internet Archive, archive.today, Ghostarchive, IPFS, Telegraph, and file systems.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

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