Julia Language Announces GSoC and JSoC 2020 Student Projects
The Julia programming language community has officially announced the list of projects for the 2020 Google Summer of Code (GSoC) and Julia Seasons of Contributions (JSoC). Published on May 5, 2020, the announcement highlights that twenty-five students will be working with the Julia ecosystem over the summer. The selected projects cover a diverse range of technical areas, including machine learning, differential equations, computer vision, and performance optimization. Key initiatives include adding GPML capabilities to JuliaGaussianProcesses, implementing deep learning for 3D computer vision, enhancing LinearMaps.jl, and integrating Hugging Face Transformers into Julia. Other notable projects focus on stochastic differential equation solvers, reservoir computing for time-series prediction, and geospatial data handling. This initiative aims to supplement GSoC by engaging students in significant open-source contributions, fostering growth within the Julia developer community. The blog post serves as a comprehensive directory of the specific technical challenges and improvements these students will address, reflecting the language's expanding capabilities in scientific computing and data science.
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Julia Language Announces GSoC and JSoC 2020 Student Projects
The Julia programming language community has officially announced the list of projects for the 2020 Google Summer of Code (GSoC) and Julia Seasons of Contributions (JSoC). Published on May 5, 2020, the announcement highlights that twenty-five students will be working with the Julia ecosystem over the summer. The selected projects cover a diverse range of technical areas, including machine learning, differential equations, computer vision, and performance optimization. Key initiatives include adding GPML capabilities to JuliaGaussianProcesses, implementing deep learning for 3D computer vision, enhancing LinearMaps.jl, and integrating Hugging Face Transformers into Julia. Other notable projects focus on stochastic differential equation solvers, reservoir computing for time-series prediction, and geospatial data handling. This initiative aims to supplement GSoC by engaging students in significant open-source contributions, fostering growth within the Julia developer community. The blog post serves as a comprehensive directory of the specific technical challenges and improvements these students will address, reflecting the language's expanding capabilities in scientific computing and data science.
JuliaLang - The Julia programming language