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
"""

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

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/"))

kevindavenport

bayesian_neural_network.ipynb

fperez

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:

mrocklin

rspeer

jakevdp