# Deep learning in Julia

**URL:** <https://discourse.julialang.org/t/deep-learning-in-julia/112844>\
**Category:** Machine Learning\
**Created:** [April 11, 2024, 7:53pm UTC](https://discourse.julialang.org/t/deep-learning-in-julia/112844 "2024-04-11T19:53:30Z")\
**Posts on this page:** 1\
**Showing post:** 36

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**Author:** ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)\
**Post date:** [April 22, 2024, 9:11am UTC](https://discourse.julialang.org/t/deep-learning-in-julia/112844/36 "2024-04-22T09:11:44Z")

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> [@CarloLucibello](#):
>
> Thanks to @maleadt work, the CUDA memory management problem will be largely improved with [Consider running GC when allocating and synchronizing by maleadt · Pull Request #2304 · JuliaGPU/CUDA.jl · GitHub](https://github.com/JuliaGPU/CUDA.jl/pull/2304)

Oh that’s nice to see! I missed that, big improvement.

> [@isentropic](#):
>
> I have the impression that SciML is funded, if so how much of the funding would go toward improving the stack partially or as a whole? It would be good to hear some long-term plans and priorities. At this point only full-time payed devs could make a difference with large milestone goals. I feel like the community is good for maintatining, but for pushing large functionality there needs to be a financial body behind it.

Anyone who is a postdoc or higher at an academic institution can get funding. You can start applying for grants the month after you graduate with your PhD. There are plenty of folks in this thread alone who joined the Discouse in 2019, which means by 2024 they are ready to start applying for funding (note that as a postdoc you may need to apply for PI status at your institution, but in many cases it can be granted)! SciML is not special in this regard, I just made a very strong effort to do this immediately.

If anyone in the Julia ML community wants to start taking a step towards getting students and staff in funded positions working on these tools, I highly recommend applying for the NASA ROSES:

> [@NASA Roses Support for Open Source Tools and Libraries, NOI Due May 7th!](https://discourse.julialang.org/t/nasa-roses-support-for-open-source-tools-and-libraries-noi-due-may-7th/113311):
>
> NASA is running a new round of ROSES for supporting open source software. If you would like to contribute to the Julia community, one of the best ways would be to secure grants to get more students working on the ecosystem! [https://nspires.nasaprs.com/external/solicitations/summary.do?solId={910CC61E-4616-9958-C26F-F8D9BC5AB8D9}&path=&method=init](https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7B910CC61E-4616-9958-C26F-F8D9BC5AB8D9%7D&path=&method=init) SMD seeks proposals for the improvement and sustainment of existing high-value, open-source tools, frameworks, and libraries that have significantl…

Co-I’s can be other folks in the Julia ML community. If the staff need more structure around them, we’d be happy to host them as visitors at the MIT Julia Lab if they are funded. I’d be happy to help folks craft a narrative if interested, though I’ll be doing a separate application on this towards SciML projects.

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