Qutebrowser :buffer/gt command to search tabs

:buffer works as a best-match tab filtering thingy, this in nice with 30+ tabs when tab number doesn’t cut it anymore


Tensorflow Datasets easiest way to look inside with an iterator


Tensorflow Keras Callbacks

How to compute f1 score for named-entity recognition in Keras

NER PRC and F-score (F1, metrics, precision, recall)

… uses only tags. As in, we don’t count the “not a name” tags at all during calculation of PRC. Otherwise the results would be too good. This is a NER-specific thing, though.

Current qutebrowser config.py

# https://github.com/qutebrowser/qutebrowser/blob/master/doc/help/configuring.asciidoc

config.bind(',l', 'set tabs.position left')
config.bind(',t', 'set tabs.position top')

config.bind(",j", "set content.javascript.enabled true")
config.bind(",J", "set content.javascript.enabled false")

config.bind(",T", "set tabs.show multiple")
config.bind(",n", "set tabs.show switching")
config.bind(",h", "set tabs.show never")

config.bind(",o", "spawn --userscript outline.sh")
config.bind(",m", "spawn mpv {url} --vid no")

c.url.searchengines = {'ss': 'https://startpage.com/do/search?query={}', 
        'g': 'https://google.com/search?q={}', 
        'c': 'http://dict.cc/?s={}', 
        'DEFAULT': 'https://duckduckgo.com/?q={}', 
        'd': 'https://en.wiktionary.org/wiki/Special:Search?search={}',
        'w': 'https://en.wikipedia.org/wiki/Special:Search?search={}',
        'y': 'https://youtube.com/results?search_query={}'

mono = '10pt monospace'
small_mono = '9pt monospace'

c.hints.mode = 'number'

c.auto_save.session = True

# Numbers to tabs

config.bind('1', 'tab-focus 1')
config.bind('2', 'tab-focus 2')
config.bind('3', 'tab-focus 3')
config.bind('4', 'tab-focus 4')
config.bind('5', 'tab-focus 5')
config.bind('6', 'tab-focus 6')
config.bind('7', 'tab-focus 7')
config.bind('8', 'tab-focus 8')
config.bind('9', 'tab-focus 9')
config.bind('0', 'tab-focus 10')
config.bind('<Alt-1>', 'tab-focus 11')
config.bind('<Alt-2>', 'tab-focus 12')
config.bind('<Alt-3>', 'tab-focus 13')
config.bind('<Alt-4>', 'tab-focus 14')
config.bind('<Alt-5>', 'tab-focus 15')
config.bind('<Alt-6>', 'tab-focus 16')
config.bind('<Alt-7>', 'tab-focus 17')
config.bind('<Alt-8>', 'tab-focus 18')
config.bind('<Alt-9>', 'tab-focus 19')
config.bind('<Alt-0>', 'tab-focus -1')

config.bind('A', 'hint all tab-bg')

config.bind('a', 'set-cmd-text -s :open -t')

config.bind('e', 'open-editor')

config.bind('>', 'tab-move +')
config.bind('<', 'tab-move -')

config.bind('<Ctrl-P>', 'tab-pin;; tab-move 1')

pip install from github

Pip install from github is surprisingly easy: pip install git+https://github.com/guillaumegenthial/tf_metrics.git