Linking pages
- Communication Primitives in Deep Learning Frameworks | by Yaroslav Bulatov | South Park Commons | Medium https://medium.com/@yaroslavvb/communication-primitives-in-deep-learning-frameworks-7faefb2f3f63 0 comments
- Implementing A Parameter Server in 15 Lines of Python with Ray - RISE Lab https://rise.cs.berkeley.edu/blog/implementing-a-parameter-server-in-15-lines-of-python-with-ray/ 0 comments
Linked pages
- Fast Python Serialization with Ray and Apache Arrow | Ray: A fast and simple framework for distributed applications https://ray-project.github.io/2017/10/15/fast-python-serialization-with-ray-and-arrow.html 16 comments
- [1712.05889] Ray: A Distributed Framework for Emerging AI Applications https://arxiv.org/abs/1712.05889 15 comments
- Apache Spark™ - Unified Engine for large-scale data analytics http://spark.apache.org/ 9 comments
- GitHub - modin-project/modin: Modin: Scale your Pandas workflows by changing a single line of code https://github.com/modin-project/modin 0 comments
- GitHub - ray-project/ray: Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. https://github.com/ray-project/ray 0 comments
- [1712.09381] RLlib: Abstractions for Distributed Reinforcement Learning http://arxiv.org/abs/1712.09381 0 comments
- Tune: Scalable Hyperparameter Tuning — Ray 2.3.0 https://ray.readthedocs.io/en/latest/tune.html 0 comments
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