Top 100 alternative sites to jialinding.github.io

  1. danfu.org
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  2. Dan Fu - Stanford University
    2nd-year CS PhD Candidate at Stanford. Systems for machine learning, vision, and graphics.
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  3. matinkh.github.io
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  6. Jingxi Xu 许靖西
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  8. Hugo Sadok
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  10. Rujun (RJ) Han
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  11. gomahajan.github.io
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  12. Gaurav Mahajan
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  13. holmdk.github.io
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  14. Andreas Holm Nielsen | PhD Student in Machine Learning at Aarhus University. My research area involves Machine Learning applied to the Atmos
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  15. damlasenolcali.github.io
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  18. FutureLab Artificial Intelligence IBaI_2
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  19. ibai-research.de
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  20. Homepage Prof. Petra Perner
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  22. Anish Athalye
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  24. tginart.ai
    About Me Greetings, fellow denizen of the interwebs! My name is Antonio (you can call me Tony). I am a final-year PhD candidate at Stanford University. I am fortunate to be advised by Prof. James Zou in the Stanford Laboratory for Machine Learning, Genomics, and Health. I am gratefully supported

  25. oleynik.dev
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  26. Michel Oleynik – Healthcare IT Researcher
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  28. Software Development, Computer Vision and Machine Learning
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  29. xiangwang1223.github.io
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  30. Xiang Wang's Homepage
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  31. jiawei-chen.github.io
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  32. Jiawei Chen's Homepage
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  33. w4ngatang.github.io
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  34. Alex **** - Personal Site
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  38. About | Sankha Narayan Guria
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  39. maxbartolo.com
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  40. Max Bartolo
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  42. Matej Balog
    Personal webpage of Matej Balog, a PhD student doing Machine Learning research at the University of Cambridge and at the Max Planck Institute for Intelligent Systems, Tübingen.
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  43. masomel.github.io
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  44. About Me - Marcela Melara, PhD Student, CS Dept, Princeton University
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  45. pgplus1628.github.io
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  46. Home - PG's Thoughts
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  66. Haoze Wu's Homepage - Stanford Computer Science
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  76. Sanha Cheong
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  80. Home - Rishabh Singh
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  81. sboysel.github.io
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  82. Home | Sam Boysel
    About I am a PhD student in the Department of Economics at the University of Southern California. My current research interests are in applied microeconomics and econometrics, including behavior in open collaboration ecosystems, network structures, and applications of machine learning in economics. Current CV: [PDF] Education PhD Economics - University of Southern California (expected May 2022) MS Economics - Tufts University (2016) BA Economics **** laude - University of California Los Angeles (2013) Contact boysel@usc.

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  84. Ma'ayan Laboratory - Computational Systems Biology - Icahn School of Medicine at Mount Sinai
    Computational and Mathematical Methods to Study the Complexity of Regulatory Networks in Mammalian Cells The Ma'ayan Laboratory applies machine learning and other statistical mining techniques to study how intracellular regulatory systems function as networks to control cellular processes such as differentiation, dedifferentiation, apoptosis and proliferation. Our research team develops software systems to […]

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  104. Tu Bui | Centre for Vision, Speech and Signal Processing CVSSP | University of Surrey
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  112. Zain Zhenyuan Ruan | zainruan [at] csail [dot] mit [dot] edu Office 32-G978B, 32 Vassar Street, Cambridge, MA 02139
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  113. yulequan.github.io
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  114. Lequan Yu Homepage
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  116. Curriculum Vitae | schifferl.io
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  142. Nick Harutyunyan
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  148. Zhang Handuo's Site
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  150. Sam Choi
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  152. Ryan Benmalek
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  154. Jingwen ****
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