The Julia Language
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Here are 4,207 public repositories matching this topic...
Notice the unspecified ::MIME type:
this happens because the table integration is not loaded:
-
Updated
Jan 11, 2022 - Julia
-
Updated
May 12, 2022 - Julia
Hi there!
This issue is a catch-all for documentation improvement suggestions. I'll keep it updated with things to work on, rather than having lots of separate issues.
- If you have suggestions for things to add to the documentation, leave a comment below.
- If you're looking to contribute to JuMP, picking something off this list is a great place to start!
General editing
The ea
Unlike all the existing charts that graph a string (most likely) against a number, this graphs numbers on both axises. So in addition to the configuration changes needed for passing the right field to chartjs, the PR for this should also change the "preferred type" to "number" for the x axis when the chart type is scatter plot.
As I understand, the LineString type allows the user to plot multiple disconnected lines in the same plot call. However, there is no documentation to reflect this. We should add some, and possibly consider adding documentation (in the docs of lines, surface, heatmap, etc.) about which types they accept. Possibly also a listing of convert_arguments signatures which are applicable to each
-
Updated
May 11, 2022 - TeX
-
Updated
May 9, 2022 - Julia
-
Updated
May 7, 2022 - Jupyter Notebook
As mentioned in FluxML/Zygote.jl#1212.
-
Updated
Apr 19, 2022 - Julia
-
Updated
Feb 25, 2022 - Julia
If I run the copy&paste examples, such as https://mtk.sciml.ai/stable/tutorials/acausal_components/ :
using ModelingToolkit, Plots, DifferentialEquations
@variables t
@connector function Pin(;name)
sts = @variables v(t)=1.0 i(t)=1.0 [connect = Flow]
ODESystem(Equation[], t, sts, []; name=name)
end
function Ground(;name)
@named g = Pin()
eqs = [g.v ~ 0]
In order to profile and optimize the current inference server architecture and best tune its hyper-parameters for various applications, it would be very useful for AlphaZero.jl to have a mode where it outputs a debugging timeline in which it is possible to easily visualize when each worker submits an inference request, when it gets an answer, and when inference concretely runs on the GPU (along wi
-
Updated
May 15, 2022 - TypeScript
typo
In Exercises 10.1, the outer product in Take the outer product of a vector v with itself and assign it to variable cross_v should be cross product.
-
Updated
Jul 22, 2020 - C++
-
Updated
Aug 2, 2021 - Julia
-
Updated
May 12, 2022 - Julia
-
Updated
May 5, 2022 - Julia
Dash 2.1.0 added shorthand support for dcc.Dropdown, dcc.Checklist and dcc.RadioItems. It would be good to support the same syntax with dbc.Select, dbc.Checklist and dbc.RadioItems respectively.
See community post and [corresponding pull request](https://github.com/plotly/da
Describe the bug
Matrix multiplications with UpperTriangular and LowerTriangular are outrageously slow.
using CUDA
using BenchmarkTools
julia> @benchmark U*U setup=(U=triu(CUDA.randn(1024, 1024)))
BenchmarkTools.Trial: 581 samples with 6 evaluations.
Range (min … max): 5.993 μs … 148.436 ms ┊ GC (min … max): 0.00% … 0.22%
Time (median): 6.445 μs Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012
- Organization
- JuliaLang
- Website
- julialang.org
- Wikipedia
- Wikipedia

Describe your context
Please provide us your environment, so we can easily reproduce the issue.
pip list | grep dashbelowif frontend related, tell us your Browser, Version and OS