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FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
A curated list of references for MLOps
Perform data science on data that remains in someone else's server
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.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Master Federated Learning in 2 Hours—Run It on Your PC!
An easy-to-use federated learning platform
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台,支持多方安全计算、联邦学习、隐私求交、匿踪查询等。
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.