VirtualTam's bookmarks

61. keon/awesome-nlp: A curated list of resources dedicated to Natural Language Processing (NLP) 2017-04-24

    tags: natural-language-processing

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62. 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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63. Stanford CoreNLP – Core natural language software | Stanford CoreNLP 2017-04-23

    tags: natural-language-processing, programming/python

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    • https://nlp.stanford.edu/software/CRF-NER.shtml
    • http://www.nltk.org/api/nltk.tag.html#module-nltk.tag.stanford

    via https://stackoverflow.com/questions/19312573/nltk-for-named-entity-recognition#19400077

64. kurtisrandom: Resolving artist names found on the Web 2017-04-23

    tags: language, metadata, music, natural, natural-language-processing, processing, text

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65. 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/

66. 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
67. Creating photorealistic images with neural networks and a Gameboy Camera - Pinch of Intelligence 2017-02-17

    tags: camera, image, neural-network, nintendo/game-boy, processing, upscaling

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68. GitHub - librosa/librosa: Python library for audio and music analysis 2017-02-07

    tags: analysis, audio, digital-signal-processing, programming/python, signal

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69. tyiannak/pyAudioAnalysis: Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications 2017-02-07

    tags: analysis, audio, feature, music, processing, programming/python, signal

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70. PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration 2017-01-19

    tags: facebook, machine-learning, natural-language-processing, neural-network, programming/python

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    • http://pytorch.org/2018/01/19/a-year-in.html
    • https://github.com/lanpa/tensorboard-pytorch
    • https://github.com/spro/practical-pytorch
    • https://github.com/jcjohnson/pytorch-examples
    • https://twitter.com/PyTorch/status/881573658166267904
71. Introduction to Natural Language Processing with fastText 2017-01-16

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

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    https://github.com/facebookresearch/fastText https://github.com/salestock/fastText.py

72. Learn OpenCV ( C++ / Python ) 2016-12-29

    tags: course, image, opencv, processing, programming/c++, programming/python, tutorial

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73. Linux: Find Out What Process Are Using Swap Space 2016-12-17

    tags: hardware/ram, linux, memory, swap, virtualization/proxmox

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    "Sauf que y a tj un mec dans la boîte qui vient faire chier à demander un environnement Java (sous couvert de Big data tout ça...) je suis d'accord il faudrait le licencier immédiatement mais en attendant c'est la fête du Swap..."

74. Inside the Linux Kernel 2016-10-24

    tags: fun, linux, linux/kernel, process, server

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75. The Process | CommitStrip 2016-01-08

    tags: clone, development, fork, hook, programming/testing, repository, source-code-management/git, source-code-management/github

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76. mkzombie 2015-03-15

    tags: fun, process, sysadmin, zombie

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    This program creates one or more zombies and a daemon their leader. It can be used to replenish system zombies, or to feed the init monster.

    via http://www.brendangregg.com/specials.html

77. Python unit testing frameworks: Nose, Pytest 2015-02-13

    tags: code, coverage, feature, nose, programming/python, programming/python/pytest, programming/testing, quality, unit

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    Python's built-in unittest module is quite cool, but a bit limited and way too verbose (read: it's quite not easy to incite developers to write unit tests)

    I'm currently looking for more dev-friendly solutions, the key points being:

    • writing test code should be easy and straight-forward -keep the focus on "what to test" instead of "how to transcribe a process to a test"
    • parallelization! -we, spoiled developers, should make good use of our way-too-many-cores build machines...
    • complete feature set!
      • we don't want to just run tests...
      • coverage reports (find dead/weak/untested code sections)
      • output formatting (JUnit-XML seems to be quite a common format out there)

    There seem to be 3 solutions in Python:

    • stock unittest + project-dependent customizations / test helpers
    • nosetests
    • py.test

    And 2 ways of gettings things done:

    • keeping things stock: no external dependency, project-specific implementation...
    • using a test framework: one more module in your (test) virtualenv, more concise tests, more features (// run, code coverage, etc.)

    Some links:

    • http://stackoverflow.com/questions/22856638/nose-vs-pytest-what-are-the-subjective-differences-that-should-make-me-pick
    • http://helixyte.org/2014/04/unit-testing-adventures-moving-from-nose-to-pytest/
    • http://lists.idyll.org/pipermail/testing-in-python/2013-August/005624.html
78. GoAccess - Visual Web Log Analyzer 2014-12-16

    tags: linux, observability/logging, process, programming/c, programming/c++, service, sysadmin, web

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    https://github.com/allinurl/goaccess

79. CheckiO | Solve puzzles with Python! 2014-11-17

    tags: algorithm, development, fun, game, language, map, programming/python, string, web

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    Plenty of fun tasks, riddles and puzzles to solve altogether with learning Python!

    Get ready for:

    • basic Python exercises (data structures, language features, common libraries)
    • a handful exercises on string and data processing
    • algorithmics! pathfinding, map exploration, optimization...
80. Linux performance Analysis tools 2014-09-15

    tags: data, file, hardware/cpu, linux, linux/debian, memory, network, observability, process, resource, system, unix, usage

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    • http://www.brendangregg.com/Perf/linux_observability_tools.png
    • http://www.brendangregg.com/Perf/linux_observability_sar.png
    • http://www.brendangregg.com/Perf/linux_benchmarking_tools.png
    • http://www.brendangregg.com/Perf/linux_tuning_tools.png