datnamer
datnamer
@njsmith Is holding a python compiler workshop at scipy that is meant to facilitate discussion among various python speedup efforts. (can't find link currently) Some of the ideas thrown around...
Requesting Hygenic Macros like in macropy: https://github.com/lihaoyi/macropy Its useful for example to refer to the columns of a dataframe of object in a formula or expression that is later expanded...
Very exciting to learn about this effort! A julia native ML package improving on Sklearn is one of the key missing pieces of the ecosystem. Here's a list of ideas...
I think https://github.com/willtebbutt/Stheno.jl might be a more rigorous test case than GaussianProcesses.jl on which to condition MLJ's architecture. It has a more flexible and involved modeling syntax and full posterior...
Hello, I like this package and plan to incorporate it in a project. Will it continues to be maintained or developed? Thanks! (I think it needs more pr..perhaps posting on...
It looks right up Soss.jl's alley! As far as representing and manipulating static representations of models.
These are out of core array and table abstractions for a variety of backends (including numpy). Also have chunking and streaming capability. See some of these : blaze/dask#138 http://blaze.pydata.org/ Just...
Looks like it is shaping up to be a great package. Thanks for spearheading this. Are there plans for a more julian like higher level API maybe using macros?
https://conda-forge.github.io/ Would really help with installation, experimentation and adoption :) https://conda-forge.github.io/#add_recipe
I'm really excited to try the new Lora! Thanks for your hard work. Looking forward to it working with autodiff and distributions. A feature Pymc 3 has is missing data...