| BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster | Apr 3, 2022 | AutoMLDistributed Computing | CodeCode Available | 5 | 5 |
| Data-Juicer: A One-Stop Data Processing System for Large Language Models | Sep 5, 2023 | Distributed Computing | CodeCode Available | 5 | 5 |
| Flexible and Scalable Deep Learning with MMLSpark | Apr 11, 2018 | Deep LearningDistributed Computing | CodeCode Available | 3 | 5 |
| MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales | Oct 20, 2018 | BIG-bench Machine LearningDistributed Computing | CodeCode Available | 3 | 5 |
| A Survey on Inference Optimization Techniques for Mixture of Experts Models | Dec 18, 2024 | Computational EfficiencyDistributed Computing | CodeCode Available | 3 | 5 |
| FedML: A Research Library and Benchmark for Federated Machine Learning | Jul 27, 2020 | BIG-bench Machine LearningDistributed Computing | CodeCode Available | 2 | 5 |
| Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods | Mar 25, 2020 | Distributed ComputingReinforcement Learning | CodeCode Available | 2 | 5 |
| Evolutionary Neural AutoML for Deep Learning | Feb 18, 2019 | AutoMLDeep Learning | CodeCode Available | 1 | 5 |
| Distributed Deep Neural Networks over the Cloud, the Edge and End Devices | Sep 6, 2017 | Distributed ComputingObject Recognition | CodeCode Available | 1 | 5 |
| Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation | Feb 18, 2022 | Distributed ComputingMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
