VirtualTam's bookmarks

81. Pure Data - Drum Machines 2017-08-04

    tags: instrument/drums, instrument/percussion, multimedia/pure-data, synthesis

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    • https://forum.pdpatchrepo.info/topic/10375/wavetable-drum-machine-repost
    • https://forum.pdpatchrepo.info/topic/10356/drum-power-a-different-kind-of-drum-machine
    • https://forum.pdpatchrepo.info/topic/9922/drum-machine-with-real-time-entry
    • https://forum.pdpatchrepo.info/topic/4613/synthetic-drum-machine-with-chaos-super-powers
    • https://forum.pdpatchrepo.info/topic/2836/snare-synthesis/8
    • https://forum.pdpatchrepo.info/topic/8834/a-drum-kit
    • http://www.cim.mcgill.ca/~clark/nordmodularbook/nm_percussion.html
    • http://impala.utopia.free.fr/pd/patchs/doc_tut_workshop/Fr_Workshop_giair/2.synthese/fotils_pddrums/pddrums.html
82. Pure Data Rhythm & Bass Machine 2017-08-02

    tags: instrument/drums, multimedia/pure-data, synthesis

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83. configuration - How to change Vagrant 'default' machine name? - Stack Overflow 2017-06-21

    tags: virtualization/vagrant

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84. NTP - Time Synchronization and Virtualization 2017-06-19

    tags: clock, esx, linux, linux/archlinux, linux/debian, linux/ubuntu, ntp, time, virtualization, virtualization/virtualbox, vmware

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    • https://help.ubuntu.com/lts/serverguide/NTP.html
    • https://wiki.archlinux.org/index.php/Systemd-timesyncd
    • https://bbs.archlinux.org/viewtopic.php?id=182172
    • https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=812522;msg=17
    • https://askubuntu.com/questions/280421/ubuntu-inside-virtual-machine-ntpd-or-ntpdate-or-to-avoid-clock-drift
    • https://superuser.com/questions/938926/systemd-timesyncd-service-start-fails
    • https://superuser.com/questions/688127/how-to-correctly-sync-time-in-linux-running-as-virtual-guest-after-host-resumes
85. Timekeeping in VMware Virtual Machines 2017-06-19

    tags: clock, linux, ntp, time, virtualization

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    • https://askubuntu.com/questions/280421/ubuntu-inside-virtual-machine-ntpd-or-ntpdate-or-to-avoid-clock-drift
86. Michal Kosinski: The End of Privacy | Stanford Graduate School of Business 2017-05-29

    tags: data, machine-learning, privacy, security

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    • https://www.gsb.stanford.edu/insights/michal-kosinski-ai-already-smarter-we-are
    • https://www.gsb.stanford.edu/insights/michal-kosinski-can-we-out-evolve-artificial-intelligence
87. Natural Language Processing (Almost) from Scratch 2017-05-24

    tags: machine-learning, natural-language-processing, research

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88. dlib C++ Library 2017-05-24

    tags: deep-learning, machine-learning, natural-language-processing, programming/c++, programming/python

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    • https://github.com/davisking/dlib

    via http://blog.dlib.net/2014/04/mitie-completely-free-and-state-of-art.html via https://www.reddit.com/r/MachineLearning/comments/26pzim/current_state_of_the_art_in_named_entity/

89. Distributed Evolutionary Algorithms in Python 2017-05-05

    tags: genetic-algorithm, machine-learning, programming, programming/python

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    • https://github.com/deap/deap
90. Introduction to Local Interpretable Model-Agnostic Explanations (LIME) - O'Reilly Media 2017-05-05

    tags: data, machine-learning, model

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    • http://www.kdnuggets.com/2016/08/introduction-local-interpretable-model-agnostic-explanations-lime.html
    • https://github.com/marcotcr/lime
    • https://www.youtube.com/watch?v=hUnRCxnydCc
91. Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano 2017-05-05

    tags: bayesian, data, machine-learning, markov, model, programming/python, stochastic

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    • https://github.com/pymc-devs/pymc3
    • https://github.com/pymc-devs/pymc
    • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097064/
92. Publicly Available Spam Filter Training Sets 2017-05-05

    tags: bayesian-filter, dataset, email, email/spam, machine-learning, spamassassin

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    • http://www.paulgraham.com/spamarchives.html
    • http://untroubled.org/spam/
    • https://spamassassin.apache.org/old/publiccorpus/
    • https://github.com/dmitrynogin/SpamAssassin
    • http://archive.ics.uci.edu/ml/datasets/Spambase + http://statweb.stanford.edu/~tibs/ElemStatLearn/
    • https://inclass.kaggle.com/c/adcg-ss14-challenge-02-spam-mails-detection
    • https://www.kaggle.com/rtatman/fraudulent-email-corpus
    • https://www.kaggle.com/veleon/ham-and-spam-dataset
    • https://www.kaggle.com/beatoa/spamassassin-public-corpus
    • http://www.csmining.org/index.php/spam-assassin-datasets.html
    • http://artinvoice.hu/spams/
    • http://www2.aueb.gr/users/ion/data/enron-spam/
    • https://security.stackexchange.com/questions/223731/spamassassin-public-corpus
93. x0xb0x®: Transistorize the World 2017-05-03

    tags: analog, instrument/drums, machine, music/rhythm, sequencer

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94. ACL Anthology | A Digital Archive of Research Papers in Computational Linguistics 2017-04-24

    tags: machine-learning, natural-language-processing, research

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95. Image-to-Image Demo - Affine Layer 2017-04-24

    tags: cat, edge, image, machine-learning, shape, shoe, wall

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    • https://github.com/affinelayer/pix2pix-tensorflow
96. Neural nets, graphic design and death metal – Rob Peart – Medium 2017-04-24

    tags: death, deep-learning, image, machine-learning, metal, neural-network

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97. The Unreasonable Effectiveness of Recurrent Neural Networks 2017-04-24

    tags: machine-learning, neural-network

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98. visakanv-RNN — machine-generated husband chatter – sharan kaur – Medium 2017-04-24

    tags: machine-learning, neural-network, personal-knowledge/blog, text

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    • http://www.jeffreythompson.org/blog/2016/03/25/torch-rnn-mac-install/
    • http://www.asaduddin.com/2017/03/torch-rnn-macos-installation-guide-2017-average-joe-edition/
    • https://medium.com/@samim/ted-rnn-machine-generated-ted-talks-3dd682b894c0
    • https://medium.com/@samim/obama-rnn-machine-generated-political-speeches-c8abd18a2ea0
    • http://visakanv.com/1000/
    • https://medium.com/@visakanv
99. Reading game frames in Python with OpenCV - Python Plays GTA V | Python Programming Tutorials 2017-04-11

    tags: artificial-intelligence, drive, game/grand-theft-auto, image, machine-learning, opencv, programming/python

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    SCOOTER BROTHERS! WE'RE SCOOTER BROTHERS!

    Scooter champ' algorithm:

    • capture video with OpenCV
    • process frames: region of interest, edge detection
    • send DirectInput controls
    • watch & enjoy!

    src https://github.com/sentdex/pygta5/ via https://www.reddit.com/r/Python/comments/64l4pp/python_plays_gta_v_tutorial_series_creating_a/

100. Deep Learning with Emojis (not Math) – tech-at-instacart 2017-03-31

     tags: cart, deep-learning, machine-learning, shop

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