VirtualTam's bookmarks

61. CardIO framework for deep research of electrocardiograms 2017-11-24

    tags: data, deep-learning, ecg, health, heart, machine-learning, programming/python

    [ permalink ]

    • https://github.com/analysiscenter/cardio
    • https://analysiscenter.github.io/cardio/
    • https://physionet.org/challenge/2017/

    via https://www.reddit.com/r/Python/comments/7exmkn/cardio_a_rich_python_library_for_heart_signals/

62. TensorFlow-Examples: TensorFlow Tutorial and Examples for Beginners with Latest APIs 2017-11-09

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

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63. TensorFlow Neural Network Tutorial 2017-11-09

    tags: machine-learning, machine-learning/tensorflow, neural-network, programming/python

    [ permalink ]
64. Jazz Against The Machine - Bombtrack 2017-11-06

    tags: cover, lounge, music/jazz, rock

    [ permalink ]
65. What Are Use Cases of Elasticsearch? - Quora 2017-10-02

    tags: document, engine, observability/elastic/elasticsearch, observability/logging, search

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    • https://www.elastic.co/use-cases
    • https://www.elastic.co/blog/found-uses-of-elasticsearch
    • https://www.elastic.co/blog/using-elastic-graph-and-kibana-to-analyze-panama-papers
    • https://www.elastic.co/blog/introducing-machine-learning-for-the-elastic-stack
    • http://blog.florian-hopf.de/2014/07/use-cases-for-elasticsearch-document.html
    • http://blog.florian-hopf.de/2014/12/use-cases-for-elasticsearch-analytics.html
66. Where can I find large datasets open to the public? - Quora 2017-09-30

    tags: dataset, image, machine-learning, text

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    • https://stackoverflow.com/questions/381806/large-public-datasets
    • https://aws.amazon.com/datasets/
    • https://archive.ics.uci.edu/ml/datasets.html
    • https://datasource.kapsarc.org/pages/home/
    • https://www.kaggle.com/datasets
    • https://www.reddit.com/r/datasets/
    • https://zenodo.org/
    • https://toolbox.google.com/datasetsearch
67. Which GPU(s) to Get for Deep Learning 2017-09-26

    tags: cuda, deep-learning, diy, hardware/gpu, linux, machine-learning

    [ permalink ]

    • https://medium.com/towards-data-science/building-your-own-deep-learning-box-47b918aea1eb
    • https://blog.slavv.com/the-1700-great-deep-learning-box-assembly-setup-and-benchmarks-148c5ebe6415
68. Heterogeneous memory management [LWN.net] 2017-09-26

    tags: hardware/cpu, hardware/gpu, linux, linux/kernel, memory

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    • https://www.phoronix.com/scan.php?page=search&q=Heterogeneous+Memory+Management
    • https://www.phoronix.com/scan.php?page=news_item&px=Nouveau-Compote
    • https://cgit.freedesktop.org/~glisse/compote/
    • https://www.infoworld.com/article/3196884/machine-learning/faster-machine-learning-is-coming-to-the-linux-kernel.html
69. YOLO 9000: Better, Faster, Stronger 2017-09-26

    tags: classification, image, machine-learning, yolo

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    • https://arxiv.org/abs/1612.08242
    • https://arxiv.org/abs/1506.02640
    • https://pjreddie.com/darknet/yolo/
70. Tomorrow Corporation : Human Resource Machine 2017-09-25

    tags: game, indie, programming

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71. Actor model - Wikipedia 2017-09-24

    tags: cellular-automaton, concurrency, concurrency/threading, parallel, programming/python, state-machine

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    • https://en.wikipedia.org/wiki/Actor_model_implementation
    • https://stackoverflow.com/questions/3423447/which-actor-model-library-framework-for-python-and-erlang-like
    • https://quantmind.github.io/pulsar/ - https://github.com/quantmind/pulsar
    • https://www.pykka.org/en/latest/ - https://github.com/jodal/pykka
    • http://www.celeryproject.org/
72. transitions: A lightweight, object-oriented finite state machine implementation in Python 2017-09-24

    tags: cellular-automaton, finite-state-machine, programming/python

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73. Flow-based Programming 2017-09-24

    tags: finite-state-machine, programming, visual

    [ permalink ]

    • http://www.jpaulmorrison.com/fbp/1stedchaps.html
    • https://en.wikipedia.org/wiki/Flow-based_programming
    • https://en.wikipedia.org/wiki/Finite-state_machine
    • https://stackoverflow.com/questions/405627/flow-based-programming
    • http://www.jpaulmorrison.com/cgi-bin/wiki.pl
74. Pandorabots 2017-09-06

    tags: artificial-intelligence, bot, chat, machine-learning, natural-language-processing

    [ permalink ]

    • https://github.com/pandorabots
75. AIML: Artificial Intelligence Markup Language 2017-09-06

    tags: artificial-intelligence, machine-learning, natural-language-processing, programming/python

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    • http://www.alicebot.org/downloads/programs.html
    • https://alicebot.blogspot.ro/2009/03/new-aiml-learning-file.html
    • https://github.com/creatorrr/pyAIML
76. Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot 2017-09-06

    tags: bot, chat, deep-learning, machine-learning

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77. Deep Learning for Chatbots, Part 1 – Introduction – WildML 2017-09-06

    tags: bot, chat, deep-learning, machine-learning

    [ permalink ]

    • http://cml.ics.uci.edu/category/aiml/
    • https://www.chatbots.org/ai_zone/viewthread/1536/
    • https://www.quora.com/What-are-some-open-source-AI-chatbots-that-use-machine-learning
78. Chatbots with Seq2Seq 2017-09-06

    tags: bot, chat, deep-learning, machine-learning, sequence

    [ permalink ]

    • https://suriyadeepan.github.io/2016-12-31-practical-seq2seq/
    • https://github.com/suriyadeepan/myshkin
    • http://www.mitsuku.com/
    • https://arxiv.org/abs/1406.1078
    • https://github.com/farizrahman4u/seq2seq
79. Sounderfeit: Cloning a Physical Model with Conditional Adversarial Autoencoders 2017-09-06

    tags: audio, machine-learning, synthesis

    [ permalink ]

    • https://gitlab.com/sinclairs/sounderfeit
80. Deep Learning From Scratch: Theory and Implementation – deep ideas 2017-09-06

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

    [ permalink ]

    • http://www.deepideas.net/deep-learning-from-scratch-i-computational-graphs/
    • http://www.deepideas.net/deep-learning-from-scratch-ii-perceptrons/
    • http://www.deepideas.net/deep-learning-from-scratch-iii-training-criterion/
    • http://www.deepideas.net/deep-learning-from-scratch-iv-gradient-descent-and-backpropagation/
    • http://www.deepideas.net/deep-learning-from-scratch-v-multi-layer-perceptrons/