I wish JAX worked with windows natively (without using wsl). I teach a very high level intro to numpy and would _love_ to have my students try jax. These students are relatively new to programming and the idea of using a linux shell or having to compile anything themselves just wouldn't work.
I'm excited about Deno, but I'm finding that the docs still need to be improved. For example, I'm trying to build a tcp server. I'm not able to get information on how back-pressure is handled.
I can see that Deno.listen returns an object which implements reader and writer interfaces, but it isn't clear to my how to look for events, such as disconnect or that new data is available.
I wish there were examples showing how to correctly parse frames or implement protocols.
I'm sure these things will be expanded over time, partly by programmers in the community, but from the outside, things are still a bit rough.
Can you describe a bit more about what is going on in the project? The file you linked is over 2.5k lines of c++ code, and that is just the “setup” file. As you say, this is supposed to be a statistical model, I expected this to be R, Python or one of the standard statistical packages.
I love this. The code is simple and documented. However, whenever I’ve tried to understand autograd, I get stuck at dual numbers.
As a programmer, I understand building up a computation graph where each node is some sort of an elementary function which knows how to take its own gradient. So a constant/scalar node has derivative/gradient of zero, x^n has derivative of nx^(n-1), etc. these gradients are passed from the end to the beginning according to the chain rule, etc., etc.
However, autograd is not supposed to be the symbolic differentiation we learned in high school.
This project doesn’t seem to have anything to do with duals...confused!
I’ve seen this mentioned before, including a blog post by the fast.ai folks. Any idea where I can get details?
If my tabular data set is small, what kind of embedding can I get out of it? Or is the idea that a larger data set is used for embeddings of categorical data?
Can dart be evaluated within the browser? I’ve been looking for a language which can be executed within the browser (without needing a connection to any server).
I would like to write some blog posts explaining technical concepts and provide executable, interactive code. As far as. I can tell, currently JavaScript is the only language for the job. All languages which transpile to js seem to require (out of browser) command line tools
This is highly illegal and taken very seriously. Is this speculation on your part or do you know this for a fact (in which case, you should report it).
Unfortunately a very common mixup. Here is Erik Meijer (aka headinthebox), the main guy behind Rx, talking about the difference[1]:
Let's keep "FRP" for what it really stands for in honor of it's inventor (http://conal.net/talks/). Rx is not FRP and was explicitly designed as a discrete collection API on purpose (as opposed to continuous time varying values).
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Does it make sense to study GA for use in data science?
My linear algebra itself is rusty so I'm not clear if the more general operations of GA make it well suited to studying stats/machine learning concepts.
- HEADLINE: Default swap space doesn't make sense for servers with HUGE ram
- DESCRIPTION: Recently I tried to install ubuntu on a server class machine where it had huge amount of ram and disk storage was spread across many ssd disks. Apparently due to the size of the ram, ubuntu was attempting to set aside so much swap space that it was taking up most of the boot disk! It was very painful to change the default and i would have switched to centos if not for LXD availability. (Note that I am a programmer, not an admin and I was doing this as an experiment)
One feature which seems to be unique to Fable is that the repl doesn't rely on connecting to a compiler on the server. If I type some F# code, apparently it can be compiled/transpiled right in the browser!