pcmoritz

URL,License,Title,Author(s),PDF
http://arxiv.org/abs/2202.03371v1,creativecommons.org/licenses/by-sa/4.0/,Cedille: A large autoregressive French language model,Martin Müller and Florian Laurent,http://arxiv.org/pdf/2202.03371v1
http://arxiv.org/abs/2303.00077v1,creativecommons.org/licenses/by-sa/4.0/,Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics,Conor Houghton and Nina Kazanina and Priyanka Sukumaran,http://arxiv.org/pdf/2303.00077v1
http://arxiv.org/abs/2010.12858v2,creativecommons.org/licenses/by-sa/4.0/,When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models,Benjamin Muller and Antonis Anastasopoulos and Benoît Sagot and Djamé Seddah,http://arxiv.org/pdf/2010.12858v2
http://arxiv.org/abs/2303.01911v1,creativecommons.org/licenses/by-sa/4.0/,Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM,Rachel Bawden and François Yvon,http://arxiv.org/pdf/2303.01911v1
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pcmoritz

AWSTemplateFormatVersion: 2010-09-09
Description: >-
  This template creates a bucket in your account for use with Jobs on your Anyscale cloud. Contact Anyscale if you run into any issues at [email protected] if you have any questions.

Parameters:
  CloudID:
    Description: "The identifier for the Ansycale Cloud that'll be using this role. *Please lowercase the value before using it here.* You can grab your ID from here: https://console.anyscale.com/admin/clouds"
    AllowedPattern: 'cld_[a-z0-9]+'
    ConstraintDescription: must contain only lowercase letters or numbers. Please lowercase your cloud ID.
    Type: String

pcmoritz

Option Explicit

Sub AddElements()
Dim shp As Shape

Dim i As Integer, n As Integer
n = ActivePresentation.Slides.Count
For i = 1 To n
    Dim s As Slide
    Set s = ActivePresentation.Slides(i)

pcmoritz

# install the irlb python package, in a shell do
# pip install -e git+https://github.com/bwlewis/irlbpy.git#egg=irlb
# Note that I don't expect the python implementation to be as polished as the R version (even though it is by the same author)
# For now it is easier for me to work with b/c I know Python better than R.

from scipy.io import mminfo,mmread
import numpy as np

X = mmread("matrix.mtx")