- Uber Open Sourced Fiber, a Framework to Streamline Distributed Computing for Reinforcement Learning Models - Apr 6, 2020.
The new framework simplifies distributed and scalable training for reinforcement learning agents.
Tags: Distributed Computing, Reinforcement Learning, Uber
- Project Hydrogen, new initiative based on Apache Spark to support AI and Data Science - Aug 16, 2018.
An introduction to Project Hydrogen: how it can assist machine learning and AI frameworks on Apache Spark and what distinguishes it from other open source projects.
Tags: AI, Apache Spark, Data Science, Databricks, Distributed Computing, Production
- Introducing Dask-SearchCV: Distributed hyperparameter optimization with Scikit-Learn - May 12, 2017.
We introduce a new library for doing distributed hyperparameter optimization with Scikit-Learn estimators. We compare it to the existing Scikit-Learn implementations, and discuss when it may be useful compared to other approaches.
Tags: Dask, Distributed Computing, Distributed Systems, Machine Learning, Optimization, scikit-learn
- Introducing Dask for Parallel Programming: An Interview with Project Lead Developer - Sep 7, 2016.
Introducing Dask, a flexible parallel computing library for analytics. Learn more about this project built with interactive data science in mind in an interview with its lead developer.
Tags: Analytics, Continuum Analytics, Dask, Data Science, Distributed Computing, Parallelism, Python, Scientific Computing
