VirtualTam's bookmarks

121. 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

     [ permalink ]

     • https://github.com/pymc-devs/pymc3
     • https://github.com/pymc-devs/pymc
     • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097064/
122. 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
123. Learn to Read the Source, Luke 2017-05-04

     tags: development, open-source, software, star-wars

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     • https://news.ycombinator.com/item?id=3769446
124. /r/ansible best practices that you've learned? 2017-04-26

     tags: automation, configuration-management/ansible, linux

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125. 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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126. 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
127. 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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128. The Unreasonable Effectiveness of Recurrent Neural Networks 2017-04-24

     tags: machine-learning, neural-network

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129. 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
130. Multiple GMail Accounts in Gnus - Cataclysmic Mutation 2017-04-20

     tags: editor/emacs, email, gnus, google/mail, network/imap

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     https://www.gnu.org/software/emacs/manual/html_node/gnus/Connecting-to-an-IMAP-Server.html#Connecting-to-an-IMAP-Server https://www.gnu.org/software/emacs/manual/html_node/gnus/Fetching-Mail.html#Fetching-Mail https://www.quora.com/Is-it-worth-learning-gnus-for-emacs https://www.emacswiki.org/emacs/GnusGmail https://www.emacswiki.org/emacs/GnusEncryptedAuthInfo

131. 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/

132. Anki - powerful, intelligent flashcards 2017-04-10

     tags: anki, card, deck, knowledge, learn, memory, quizz

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     • https://www.supermemo.com/en/articles/20rules
     • https://github.com/dsnopek/anki-sync-server
133. Deep Learning with Emojis (not Math) – tech-at-instacart 2017-03-31

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

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134. Tensorflow and deep learning - without a PhD by Martin Görner 2017-03-29

     tags: deep-learning, machine-learning, machine-learning/tensorflow, programming/python

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     • Part 1: https://goo.gl/pHeXe7
     • Part 2: https://goo.gl/UuN41S
135. The Nature of Code 2017-03-12

     tags: algorithm, book, code, machine-learning, neural-network, processing, programming/python

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     • https://www.quora.com/How-do-I-implement-a-simple-neural-network-from-scratch-in-Python
     • https://github.com/nature-of-code
     • https://github.com/nature-of-code/noc-book-2
136. CS231n Convolutional Neural Networks for Visual Recognition 2017-03-08

     tags: classification, course, deep-learning, image, machine-learning, neural-network, recognition

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137. Calculus on Computational Graphs: Backpropagation -- colah's blog 2017-03-08

     tags: graph, loss, machine-learning, neural-network

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138. [1409.1556] Very Deep Convolutional Networks for Large-Scale Image Recognition 2017-03-08

     tags: classification, deep-learning, image, neural-network

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     VGG-16

139. Intro to Apache Spark | Databricks 2017-03-08

     tags: apache, big-data, machine-learning, spark

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140. Ddrescue - GNU Project - Free Software Foundation (FSF) 2017-03-07

     tags: drive, gnu, hard, hardware, storage/disk

     [ permalink ]

     via https://www.linux.com/learn/intro-to-linux/2017/3/gnu-ddrescue-best-damaged-drive-rescue