vene

""" Poisson-loss Factorization Machines with Numba

Follows the vanilla FM model from:
Steffen Rendle (2012): Factorization Machines with libFM.
In: ACM Trans. Intell. Syst. Technol., 3(3), May.
http://doi.acm.org/10.1145/2168752.2168771

See also: https://github.com/coreylynch/pyFM
"""

owainlewis

;; HipChat 

(setq ssl-program-name "gnutls-cli"
      ssl-program-arguments '("--insecure" "-p" service host)
      ssl-certificate-verification-policy 1)

;; Connect using jabber.el
;; M-x jabber-connect <RET>

;; Config

bitops

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; use jabber-connect to connect. Make sure you tab to select the hipchat account if it's the           ;;
;; only connection configured.                                                                          ;;
;;                                                                                                      ;;
;; a fork of https://gist.github.com/puffnfresh/4002033                                                 ;;
;;                                                                                                      ;;
;; shout out to http://emacs.stackexchange.com/questions/10940/connecting-to-hipchat-xmpp-via-jabber-el ;;
;; for the help.                                                                                        ;;
;;                                                                                                      ;;
;; you can look up the necessary jabber info on the account i

nickynicolson

Automating reading list management

What I'm using:

Zotero: In browser integration mean that its a single click to save citation information (and a full-text PDF if available)

...but I'm using Trello to stay on top of tasks, and my "to-read" list needs to have a presence in my "to-do" list, as Trello gives a better single view of my work than zotero.

What I'd like:

Cards for new "to-read" articles in Trello, automatically - without cut + paste.

sberke

bayesian_neural_network.ipynb

ericdill

import json
import glob
import os
from os.path import join, basename
# install this with "conda install -c conda-forge python-graphviz"
import graphviz as gv

# path to your conda environment
path = os.environ.get('CONDA_PREFIX')
if path is None:

fperez

mrocklin

paulochf

from IPython.display import display, HTML

display(HTML(data="""
<style>
    div#notebook-container    { width: 95%; }
    div#menubar-container     { width: 65%; }
    div#maintoolbar-container { width: 99%; }
</style>
"""))