Top 100 alternative sites to shaden.io

  1. graphanalysis.org
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  2. GraphAnalysis.org: High Performance Computing for solving large-scale graph problems
    GraphAnalysis.org: High performance computing for solving large-scale graph problems
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  8. Welcome to Polymatheia
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  10. Home - PG's Thoughts
    Hi, I'm Pin Gao Currently, I'm a Ph.D student in MadSys Group@Tsinghua University. I'm currently working on system supports for large scale graph processing and machine learning applications. My research interests include parallel and distributed computing systems and storage techniques. My research advisors are Prof ...

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  13. rescale.com
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  14. Cloud HPC Platform | Intelligent Computing for Digital R&D
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  15. masomel.github.io
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  16. About Me - Marcela Melara, PhD Student, CS Dept, Princeton University
    I'm a Research Scientist in the Security and Privacy Research group at Intel Labs. My research focuses on OS and memory security. Previously, I received my PhD in Computer Science from Princeton University in September 2019, where I worked with Mike Freedman in the S* Network Systems Group. I received …
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  18. Download e-book Patterns and Skeletons for Parallel and Distributed Computing
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  19. paralleldomain.com
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  20. Parallel Domain | The New Data Pipeline for Computer Vision
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  21. ipdps.org
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  22. IPDPS - IEEE International Parallel & Distributed Processing Symposium
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  23. aeonx.ai
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  24. AeonX AI
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  25. cuda-chen.github.io
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  26. Cuda Chen’s Blog | Image Processing, Machine Learning, Parallel Computing, video games, and living.
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  27. huyenchip.com
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  28. Chip Huyen
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  33. jlesc.github.io
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  34. JLESC — Joint Laboratory on Extreme Scale Computing
    The Joint Laboratory for Extreme Scale Computing includes researchers from the French National Institute for Research in Computer Science and Control (INRIA), the University of Illinois at Urbana-Champaign’s Center for Extreme-Scale Computation, the National Center for Supercomputing Applications, Argonne National Laboratory, Barcelona Supercomputing Center, Julich Supercomputing Center and Riken/AICS. The Joint Lab is part of Parallel@Illinois.

  35. shogun-toolbox.org
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  36. Shogun Machine Learning - Home
    shogun: large scale c++ machine learning library

  37. shogun.ml
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  38. Shogun Machine Learning - Home
    shogun: large scale c++ machine learning library
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  39. air.ug
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  40. Makerere - AI-LAB
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  41. healthyai.se
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  42. Healthy AI Lab | Healthy AI lab: Research in machine learning and healthcare
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  43. sptdc.ru
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  44. Summer School on Practice and Theory of Distributed Computing
    Computing nowadays is inherently distributed. Be it a mainstream multi-core machine, a computing cluster, or a large-scale distributed service, a modern computing system involves multiple processes that concurrently perform independent computations and communicate to synchronize their activities. Understanding distributed computations is therefore essential to be competitive in practice or research in computer science.

  45. abhishekdas.com
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  46. Abhishek Das
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  47. andrewking.io
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  48. Andrew King | Creative Artificial Intelligence
    Andrew King is a machine learning and computer vision scientist. He holds a master’s degree in Artificial Intelligence from the University of Georgia. His research focuses on deep learning models for semantic segmentation.

  49. emansour.com
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  50. Welcome
    Welcome I am an assistant professor in the Department of Computer-Science and Software Engineering at Concordia University in Montreal, and the head of the Concordia Data Systems (CoDS) lab. My research interests are in the broad areas of parallel/distributed systems, data management, and machine learning for developing federated data science platforms.
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  51. iw041.de
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  52. Ingolf Waßmann
    Homepage of Ingolf Waßmann, Computer Scientist & Engineer, Machine Learning Enthusiast.
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  53. learningscientists.org
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  54. The Learning Scientists
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  55. bodo.ai
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  56. Bodo.ai: Parallel Computing for Extreme Performance Data Analytics | Bodo
    Bodo.ai is an extreme-performance parallel compute platform for data analytics, scaling past 10,000 cores and petabytes of data with unprecedented efficiency and linear scaling.
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  60. argmax.ai · Machine Learning Research Lab, Volkswagen Group, Munich
    Machine Learning Research Lab, Volkswagen Group, Munich

  61. hpcat.github.io
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  63. dataspartan.co.uk
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  64. Home - Data Spartan
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  65. matthiasplappert.com
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  72. Michael Burke | Robotics, computer vision and machine learning researcher.
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  73. dsteurer.org
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  74. David Steurer — ETH Zurich, Computer Science, Theory
    David Steurer is an associate professor at ETH Zurich. He investigates the power and limitations of mathematical relaxations for basic optimization and estimation problems. His current focus is on the sum-of-squares method and the Unique Games Conjecture with applications to estimation problems that arise in machine learning.

  75. marcellogiordano.ca
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  76. Marcello Giordano - Research Scientist
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  77. prtk.in
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  78. Praateek Mahajan | Machine Learning Engineer
    Machine Learning at Iterable. Masters of Computer Science from Johns Hopkins University. Confused about being a Machine Learning engineer or a Data Scientist.
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  79. advancedhpc.com
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  80. High Performance Computing | Advanced HPC
    Advanced HPC provides high performance computing, storage systems and clusters to enable the latest in technology, from AI to machine learning.

  81. benhachey.info
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  82. Ben Hachey
    Ben Hachey - Home - Data science professional of 10+ years. Key expertise in computational linguistics, large-scale text analytics, machine learning, and information integration.

  83. sstich.ch
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  84. Sebastian U. Stich - Research Scientist at the Machine Learning and Optimization Laboratory, EPFL
    Dr. sc. ETH (PhD). Research scientist at EPFL, working on machine learning and optimization.
    Author: Oğuz Kaan Yüksel Sebastian U Stich Martin Jaggi Tatjana Chavdarova

  85. aifrontiers.com
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  86. AI Frontiers Conference | November 9-11, San Jose, CA | Top AI Conference 2018
    This 3-day AI conference covers Artificial Intelligence, machine learning, NLP, video understanding, robots, drones, deep learning breakthroughs, AI in healthcare/games/finance, edge computing, IoT, etc. We bring together leading scientists and practitioners with large-scale AI products deployment. Come and explorer the frontiers of AI and machine learning, and have opportunities to network with other AI/Deep Learning professionals or enthusiasts, and connect with top VC firms in Silicon Valley.

  87. sanyam5.github.io
    sanyam5.github.io
  88. About – Sanyam Agarwal – Visiting Research Scholar at Machine Learning and Perception Lab, Georgia Tech
    Visiting Research Scholar at Machine Learning and Perception Lab, Georgia Tech
    Author: Sanyam Agarwal

  89. ycchen.dev
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  90. Samuel Yen-Chi Chen
    Hi, I'm Samuel, a quantum machine learning researcher from Brookhaven National Lab.

  91. scaledml.org
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  92. The 5th Annual ScaledML Conference
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  93. solspec.io
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  95. maelstrom-eurohpc.eu
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  97. clustertech.com
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  98. Welcome
    Founded in 2000, ClusterTech Limited is committed to providing value to clients through advanced computing technologies including Cloud, High Performance Computing, Big Data and Heterogeneous Computing. We provide a comprehensive range of services and products to solve problems in massive data processing, large-scale computing, in-depth analysis, artificial intelligence, and uninterrupted service.

  99. jtorr.es
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  100. Portfolio
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  101. miz.space
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  103. fredhohman.com
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  104. Fred Hohman
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  105. co-mind.org
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  106. Co-Mind Lab: Home
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  107. ruder.io
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  108. Sebastian Ruder
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  109. laan.com
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  110. We make apps withAR, CV and ML on the edge
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  111. icicc.org.in
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  112. ICICC 2021
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  113. sohaibayub.me
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  114. Muhammad Sohaib Ayub | HPC Lab, SEECS, NUST
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  115. coiled.io
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  116. Homepage - Coiled : Coiled
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  117. isaacchanghau.github.io
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  118. IsaacChanghau
    Research Engineer, Institute of High Performance Computing (IHPC)

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  119. brightlemon.com
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  120. Home
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  122. Nebula AI - Global Cloud Solution Provider
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  123. esslab.jp
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  124. Simo-Serra Lab.
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    Author: Edgar Simo-Serra

  125. mr-easy.github.io
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  126. Mr. Easy - Rishabh Gupta, Data Scientist at Flipkart, Masters student (MTech) at Computer Science and Automation (CSA) at Indian Institute o
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  127. slices-ri.eu
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  128. SLICES-RI | Scientific LargeScale Infrastructure for Computing/Communication Experimental Studies
    what is Slices-RI? SLICES is a flexible platform designed to support large-scale, experimental research focused on networking protocols, radio technologies, services, data collection, parallel and distributed computing and in particular cloud and edge-based computing architectures and services.https://youtu.be/-zkOA9nviSo Learn about us who we are SLICES consortium gathers partners from 15 European countries, all of them having… Read More »SLICES-RI

  129. eaplab.eu
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  130. ENVIRONMENTAL APPLIED PHYSICS LABORATORY - HOME
    EAP LAB is made by people , young and experienced scientists, with strong background in building physics. The key focus of EAP LAB applied research and tech transfer is: 1. Development and novel...

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  132. Home
    IMVC 2021October 26, 2021 Registration About us SagivTech is a leading provider of innovative technology, solutions and services for Computer Vision, Machine Learning, Deep Learning, Code Optimization and Parallel Computing.
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  133. nuit-blanche.blogspot.com
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  134. Nuit Blanche
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  135. utpalbora.com
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  136. Utpal Bora's portfolio!
    I am a final year doctoral student at IIT Hyderabad, India. My research area is Programming Languages and Compiler Optimizations. Currently I am working on bug detection in concurrent programs using the LLVM compiler infrastructure. My research interests also include parallel computing, performance tools for parallel computing, scheduling and automatic...
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  137. taochen.github.io
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  138. IDEAS Laboratory
    The IDEAS lab (Intelligent Dependability Engineering for Adaptive Software laboratory) consists of a group of computer scientists based at Loughborough, UK. The group's main research topic has been on the intersection between Artificial/Computational Intelligence (e.g., Natural Computation and Machine Learning) and Software Engineering, particularly related to fields such as Self-Adaptive Systems, Search-Based Software Engineering, Data-Driven Software Engineering and Intelligent Performance Engineering. The group is currently recruiting highly-motivated and excellent Ph.

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  142. Home | Bas Doorn
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  145. imsskiran.github.io
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  150. (Mark) Shui Hu | Welcome to my website. Connect with me via any of my socials below!
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  159. intuitiveexplanations.com
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  160. Welcome to Intuitive Explanations
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  169. shersec.io
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  171. welch-lab.github.io
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  172. Home | The Welch Laboratory
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  173. pgarner.github.io
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  174. Phil Garner | Home
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  198. About me | Camille Roth
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