anyscale-workshop-nyc-2023

BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray

A comprehensive guide to building RAG-based LLM applications for production.

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

Paddle with Decentralized Trust based on Xuperchain

LLM Based NLP Library.

? A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynchronous.

Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.