SciML Scientific Machine Learning Software

SciML Scientific Machine Learning Community

Community Standards

The SciML community strongly values inclusivity and diversity. Everyone should treat others with the utmost respect. Everyone in the community must adhere to the NumFOCUS Code of Conduct which reflects the values of our community. Violations of the code should be reported to members of the steering council, where the offenses will be handled on a case-by-case basis.

Official Channels

The following are the official channels of communication for the SciML community.

Github

Development discussions should occur on Github through issues and pull requests. See the SciML Github Organization for a full list of repositories.

Discourse

Our open webform is provided courteously of the Julia programming language disourse using the tags diffeq or sciml, and using the domain Modeling & Simulations. When using this discourse, you must adhere to the Julia community rules.

StackOverflow

Questions on StackOverflow can be asked with the differentialequations.jl tag.

Twitter

For updates on recent scientific machine learning developers, follow @SciML_Org.

Reddit

For sharing updates on scientific machine learning, see the SciML Scientific Machine Learning Reddit.

Chat

For casual conversation and informal questions, we provide an open chatroom. The chatroom is openly available through the Gitter JuliaDiffEq/lobby. This channel is also bridged to the Julialang Slack and is accessible in the #diffeq-bridged and #sciml channels. For access to the Slack, please ask for an invite via this link.