fperez

bayesian_neural_network.ipynb

KLDGH

lispnik

(if window-system
    (tool-bar-mode -1)
  (menu-bar-mode -1))
(when (eq window-system 'ns)
  (add-to-list 'default-frame-alist '(height . 80))
  (add-to-list 'default-frame-alist '(width . 132)))

(require 'package)
(setq package-enable-at-startup nil)
(add-to-list 'package-archives '("melpa" . "https://melpa.org/packages/"))

bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

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
"""

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.

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

jbwhit

import os
from subprocess import check_call

def post_save(model, os_path, contents_manager):
    """post-save hook for converting notebooks to .py and .html files."""
    if model['type'] != 'notebook':
        return # only do this for notebooks
    d, fname = os.path.split(os_path)
    check_call(['jupyter', 'nbconvert', '--to', 'script', fname], cwd=d)
    check_call(['jupyter', 'nbconvert', '--to', 'html', fname], cwd=d)

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>
"""))