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jbetz> is `rhyolite` for enabling the frontend to subscribe to backend events via web sockets? and has anyone outside of obsidian tried using it? | |
02:06 <Cale> jbetz: rhyolite is a bunch of partially-baked miscellaneous libraries which are at various levels of polish, but which we needed to open-source early for various reasons. Use it at your own risk, but please let us know if you find anything particularly good/bad if you do end up trying it out. | |
02:07 We've been breaking out pieces of it, taking off the sharp edges, and open sourcing them as separate libraries as time permits. | |
02:08 Rhyolite.Backend.App does contain something like what you described though | |
02:10 → mtesseract joined (~moritz@x5d8555ca.dyn.telefonica.de) | |
02:13 <jbetz> Cale: gotcha. I got curious when I started looking through obsidian's tezos projects. | |
02:18 also, I really like the idea of widget's subscribing to database queries. there's a clojure project called `precept` that pretty much does this. the database is just a graph of facts, wi |
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# This is shorthened version of blog post | |
# http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/ | |
# update packages | |
sudo apt-get update | |
sudo apt-get upgrade | |
#Add the ppa repo for NVIDIA graphics driver | |
sudo add-apt-repository ppa:graphics-drivers/ppa | |
sudo apt-get update |
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resolver: lts-7.2 | |
compiler: ghcjs-0.2.1.9007002_ghc-8.0.1 | |
compiler-check: match-exact | |
setup-info: | |
ghcjs: | |
source: | |
ghcjs-0.2.1.9007002_ghc-8.0.1: | |
url: http://ghcjs.tolysz.org/ghc-8.0-2016-10-01-lts-7.2-9007002.tar.gz | |
sha1: a41ae415328e2b257d40724d13d1386390c26322 |
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#r "../packages/Neo4jClient.1.1.0.28/lib/net45/Neo4jClient.dll" | |
#r "../packages/Newtonsoft.Json.6.0.4/lib/net45/Newtonsoft.Json.dll" | |
open System | |
open System.Collections.Generic | |
open System.Linq | |
open Microsoft.FSharp.Quotations | |
open Microsoft.FSharp.Linq.RuntimeHelpers | |
open System.Linq.Expressions |
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from pylearn2.datasets.dataset import Dataset | |
from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix | |
from pylearn2.utils.iteration import (SequentialSubsetIterator, | |
FiniteDatasetIterator, | |
resolve_iterator_class) | |
import functools | |
import logging | |
import numpy | |
import warnings |