oorb
An open-source orbit-computation package for Solar System objects. (by oorb)
Torch.jl
Sensible extensions for exposing torch in Julia. (by FluxML)
oorb | Torch.jl | |
---|---|---|
3 | 6 | |
54 | 205 | |
- | 2.0% | |
5.3 | 4.2 | |
about 2 months ago | 10 days ago | |
Fortran | Julia | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
oorb
Posts with mentions or reviews of oorb.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-22.
-
Show HN: OpenOrb, a curated search engine for Atom and RSS feeds
Imagine my surprise to see OpenOrb, the standard open source software package for orbit determination and minor planet propagation, on the front page of HackerNews. Its interesting software with a beautiful theoretical basis in Bayesian statistics, and a gnarly Fortran codebase - I can’t wait to see the discussion!
Oh.
It’s one thing to land near a name in use. It is quite another to take it directly!
https://github.com/oorb/oorb
- Julia 1.10 Released
-
NASA’s Double Asteroid Redirection Test Is a Smashing Success
Mostly Python and Fortran. See for example https://github.com/oorb/oorb.
The hardest problems are always the social ones. How do you get uptake of a new method, how do you get funding, how do you politely tell a collaboration they are doing the wrong thing, etc.
But if you mean pure technical stuff - the hardest problem I had to solve was rethinking some of the inner loops of the THOR algorithm. The problem was essentially to speed up a Hough transform in 6D space. Lots of time spent profiling CPU cache timings to get that fast.
Torch.jl
Posts with mentions or reviews of Torch.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-27.
- Julia 1.10 Released
- Julia 1.9: A New Era of Performance and Flexibility
- How usable is Julia for Natural Language Processing Machine learning?
-
Does Julia Have a Chance to Overthrown Python in the Machine Learning Industry?
For frontends Python has quite some head-start. In principle it would be possible to write Julia frond-ends to existing ML libraries (written e.g. in C), for example https://github.com/FluxML/Torch.jl , but the advantages over Python frontends would be very limited. Only a front-to-back Julia implementation leverages most of the language advantages like composibility and flexibility.
-
Julia: faster than Fortran, cleaner than Numpy
PyTorch for example is a C++ library with a Python user interface, see e.g. the language shares in GitHub (https://github.com/pytorch/pytorch ). There is also a Julia binding for Torch (https://github.com/FluxML/Torch.jl), but I do not know how up-to-date it is.
What are some alternatives?
When comparing oorb and Torch.jl you can also consider the following projects:
thor - Tracklet-less Heliocentric Orbit Recovery
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor