Top 100 alternative sites to hyungilahn.github.io

  1. danroy.org
    danroy.org

    2. Daniel Roy
    Foundations of machine learning and statistics; Bayesian nonparametric statistics; computable probability theory; probabilistic programming languages.

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  2. pyro.ai
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    3. Pyro
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    deeplearningwizard.com

    4. Deep Learning Wizard - Deep Learning Wizard
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    Author: Ritchie Ng

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  4. dsteinberg.github.io
    dsteinberg.github.io

    5. About - Dan Steinberg
    Currently I am a principal researcher at Gradient Institute where I research and implement ethically aware machine learning algorithms andsystems. The majority of my research has been on probabilistic machine learning algorithms. This includes creating variational inference methods for Bayesian machine learning, and more recently using probabilistic techniques to …
    Author: Dan Steinberg

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  5. py-bbn.readthedocs.io
    py-bbn.readthedocs.io

    6. py-bbn — PyBBN 3.2.1 documentation
    An exact probabilistic and causal inference API using Bayesian Belief Networks (BBNs).
    Author: Jee Vang; Ph D

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  6. tdmx.eu
    tdmx.eu

    7. TDMx - Welcome
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  7. juhokokkala.fi
    juhokokkala.fi

    8. Juho Kokkala
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  8. bayesiandeeplearning.org
    bayesiandeeplearning.org

    9. NeurIPS Europe meetup on Bayesian Deep Learning | NeurIPS 2020
    NeurIPS Europe meetup on Bayesian Deep Learning co-organised with ELLIS at NeurIPS 2020 — Thursday, 10 December, 2020.

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  9. sanjayasubedi.com.np
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    10. Sanjaya’s Blog
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    sinafathi.com

    11. Sina's Blog
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  11. jlko.eu
    jlko.eu

    12. Jannik Kossen 🤖
    Hi! 👋 Thanks for stopping by! I am a 👨🎓 PhD student in the Oxford Applied and Theoretical Machine Learning Group supervised by Yarin **** and Tom Rainforth. I am working on (mostly Bayesian) Deep Learning. More specifically, I am currently looking into ...
    Author: Jannik Kossen

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  12. rohitapte.com
    rohitapte.com

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    14. Fond of Code
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  14. probml.github.io
    probml.github.io

    15. Book 0: “Machine Learning: A Probabilistic Perspective” (2012) | pml-book
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  15. i-cant-believe-its-not-better.github.io
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    16. I Can't Believe It's Not Better! (ICBINB) NeurIPS 2020 Workshop
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  16. songho.ca
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    17. Song Ho Ahn
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  17. dudley.codes
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    18. James Dudley
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  18. timmer-net.de
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  19. schankacademy.com
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    20. The Schank Academy
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  20. theinsaneapp.com
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    21. Insane
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  21. bayesloop.com
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    22. bayesloop
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  23. fullstackdeeplearning.com
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    24. Full Stack Deep Learning
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  24. rubixml.com
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    25. Rubix
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  25. arthurthomas.fr
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    26. Research Fields - Arthur Thomas
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  26. shyambhu20.blogspot.com
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    27. Machine learning and statistics with python
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    28. Buildprogrammer.com » Building the programmer
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    30. Bayesian Network Software | AgenaRisk
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  30. wrosinski.github.io
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    31. Deeply Thought
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  31. ailearning.in
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    32. Data Science Online Course: Artificial Intelligence, Machine Learning | Self Paced Flexible Learning
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  32. learnbayesstats.com
    learnbayesstats.com

    33. The "Learning Bayesian Statistics" podcast
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  33. colinreimerdawson.com
    colinreimerdawson.com

    34. Colin Reimer Dawson
    I am an Assistant Professor in the Math Department at Oberlin College. I teach statistics and do research in Bayesian statistics and machine learning.

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  34. guvi.in
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    35. GUVI
    Learn and Practise Programming with courses like C, Python, Deep Learning, Machine Learning etc which are created by industry experts in your preferred regional languages (English, Tamil, Telugu,Hindi, Arabic).

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    36. Edgy Labs Home
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  36. kordinglab.com
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    37. Kording lab
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  37. embedl.ai
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    38. EmbeDL | Efficient Deep Learning
    Efficient Deep Learning by Deep Learning model optimization
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  38. zestime.github.io
    zestime.github.io

    39. Kiyong Han (Ethan) | I enjoy lots of programming languages. I love to dive new paradigm and tech. included Deep Learning, Javascript, FP, Rx
    I enjoy lots of programming languages. I love to dive new paradigm and tech. included Deep Learning, Javascript, FP, Rx, C#…
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    40. HOME - Zincode Technologies Pte Ltd
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  40. deeplearningitalia.com
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    41. DeepLearningItalia - Community
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  41. sethrf.com
    sethrf.com

    42. Home | Seth Flaxman
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  42. iamsiva11.github.io
    iamsiva11.github.io

    43. Siv's Blog – Deep ponderings on deep learning and related.
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    44. Home - All About PCs - Custom PC Builders
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    45. AHN Grove City I Home
    AHN Grove City is a community-based hospital offering patients passionate care that is close to home. We offer emergency services, cancer and cardiac care, medical imaging, rehabilitation and many other programs.

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  45. backprop.fr
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    46. BackPropagration | IA, Deep learning, Machine learning
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    48. Dennis Kubes - Programming Deep Dives
    Programming Deep Dives

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  48. rensvandeschoot.com
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    49. Rens van de Schoot I Professor at Utrecht University
    On behalf of the University of Utrecht, Rens is primarily working on Bayesian statistics, expert elicitation and developing active learning software for systematic reviewing
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  49. deepdish.io
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    50. Deep learning at the University of Chicago
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  50. jasp-stats.org
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    51. JASP - A Fresh Way to Do Statistics
    JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.
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    52. Jonathan Hui blog
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    53. Laqudee-Blog | ZhaoYLong-Blog
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    54. BoTorch · Bayesian Optimization in PyTorch
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    55. PyMC Labs
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    57. angrypark
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    58. Digital Mind
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    60. ChaosML
    Notes on machine learning and deep learning.

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    61. YW & YY's Python, Machine & Deep Learning
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    62. Alan Lee
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    63. JK Jung's blog
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    65. Home
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  65. probabilistic-programming.org
    probabilistic-programming.org

    66. ProbProgs | probabilistic-programming.org
    Probabilistic-Programming.org # This website serves as a repository of links and information about probabilistic programming languages, including both academic research spanning theory, algorithms, modeling, and systems, as well as implementations, evaluations, and applications. If you would like to contribute to this site, please contact Daniel Roy. The site is still under construction: please help us link to relevant projects and research! News # Dec 2014 Third NIPS Workshop on Probablistic Programming.

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  66. jason-adam.github.io
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    67. Jason Adam – Software Engineering | Machine Learning | Deep Learning
    Software Engineering | Machine Learning | Deep Learning
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    68. Cuong (Erik) Dao | neuraltalks.io
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    69. Artificial Intelligence Research
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    70. Guru Prasad Singh | My presonal blog for Machine Learning and Deep Learning
    My presonal blog for Machine Learning and Deep Learning
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  70. codemonkey.nl
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    71. CodeMonkey
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    73. Jamie Burton
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    74. Jason Edelman's Blog
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    76. Everyday Data
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    78. Fábio Miranda
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    79. Michael J. Sanders
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    81. MK5.DEV Mateusz Kulawik - Full-Stack Development & IT Consulting
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