dklend122

8 ms·

1.
by dklend122 4y ago
What are the goals and positioning of pyston given these other efforts?
2.
by dklend122 4y ago
If packages use generic indexing functions like eachindex, there would be no correctness issue with that specific example
3.
by dklend122 4y ago
That's exactly where Dex might improve over Julia, with language level control over mutability and effect handlers and array access safety ... time will tell. So packages just use those features Maybe it will hit the right trade off, o
4.
by dklend122 4y ago
Please see my comment here: https://news.ycombinator.com/item?id=31269739 Based on the above, I expect more than marginal improvements in these areas. Would you agree?
5.
by dklend122 4y ago
There are several repeating (valid) critiques. There is also a sense that things won't get better. I don't think that's necessarily the case. I can't give timelines, but I'll list the themes and point to the very ac
6.
by dklend122 5y ago
Cool! Is this built on genie and stipple? Will they remind free and mit licensed? How will integration with python work ?
7.
by dklend122 5y ago
Can you please open up an issue on Jet.jl? Even if you can't provide a MWE, it would be helpful to share these experiences
8.
by dklend122 5y ago
Cool! Looking forward to seeing some of the trait work
9.
by dklend122 5y ago
Hi, cool paper! semi related questions: What do you think of JET.jl? Tension between Method ambiguities and desire for traits or multiple inheritance is something discussed in the community. Has your group given any thought to this? Thank
10.
by dklend122 5y ago
Yes, but that's only required for one of those packages. One of Julia's benefits is that the compiler is hackable so high level abstractions can be experimented with in user space.
11.
by dklend122 5y ago
There's work being done to solve this in Julia. See escapeanalysis.jl and the immutable array pr in base
12.
China beats Google by launching fastest programmable quantum computer(scmp.com)
1 points by dklend122 5y ago|0 comments
13.
AlphaZero Running on GPU with Julia(github.com)
2 points by dklend122 5y ago|0 comments
14.
by dklend122 5y ago
In Julia it's easy to run the entire thing on CUDA: https://github.com/fabricerosay/AlphaGPU No C or any other language required because Julia has GPU codegen. You can also keep MCTS on the CPU and be competitive
15.
by dklend122 5y ago
Yea, I meant parity for vanilla ML models. For anything off that beaten path it's much much faster
16.
Julia FastAI Live Q&A(twitter.com)
3 points by dklend122 5y ago|0 comments
17.
by dklend122 5y ago
Note: This is a sanctioned adaptation by members of the Julia community.
18.
FastAI.jl: FastAI for Julia(forums.fast.ai)
196 points by dklend122 5y ago|23 comments
19.
by dklend122 5y ago
That makes sense, thanks ! Good luck to you as well.
20.
GPU Programming in Julia(youtube.com)
2 points by dklend122 5y ago|0 comments
21.
by dklend122 5y ago
Composability, speed, static analysis, type system, abstractions, user defined compiler passes, metaprogramming, ffi, soon static compilation, differentiability and more create an effect that far exceeds numba
22.
Julia Computing raises $24M Series A(hpcwire.com)
378 points by dklend122 5y ago|238 comments
23.
by dklend122 5y ago
Can you please post a pointer to the thread in question?
24.
by dklend122 5y ago
Can you give some examples?
25.
Algebra of Graphics: A fresh approach to datavis(juliaplots.org)
3 points by dklend122 5y ago|0 comments
26.
by dklend122 5y ago
You hardly need python for models at this point. There are native julia implementations of linear regression, naive bayes, gradient boosting, random forest, PCA, T-SNE and more. The python interop is just a stopgap
27.
by dklend122 5y ago
Check out the " Model composability" section. Also multithreading, custom differentiable loss functions, works with any abstract table type, and the list goes on
28.
by dklend122 5y ago
You only pay for it on the first run.
29.
by dklend122 5y ago
That's coming. Pieces are there but still need polish and integration. Fib was around 44kb with no runtime required. Check out staticcompiler.jl
30.
by dklend122 5y ago
Julia can also generate fast code for arrays of small unions

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