News on the future of MLC@Home (the BOINC portion) available below. TL;DR: We're shutting down for now, because we've completed all our desired research goals! 🎉
Until new experiments are proposed, we'll be archiving the project. #ML #boinc
mlcathome.org/mlcathome/foru
MLC@Home
@MLCHome2
Official account of the MLC@Home distributed computing project, run out of the CORAL Lab at UMBC.
mlcathome.orgJoined July 2020
MLC@Home’s Tweets
MLC@Home is proud to announce the immediate availability of our DS3 dataset, consisting of over 1 million trained neural networks for manifold and parameter space analysis #boinc #ml #NeuralNetworks #torrent
Dataset download page: mlcathome.org/mlds.html
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MLC@Home is entering an analysis phase and WU generation will be burst-y and inconsistent for a few months. But we are *not* shutting down! Read more at mlcathome.org/mlcathome/foru . #boinc
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MLC@Home is proud to announce that our volunteers have completed the project's DS2 milestone, and the immediate availability of all DS1 and DS2 datasets for download! #boinc #ml #NeuralNetworks
News update: mlcathome.org/mlcathome/foru
Dataset download page: mlcathome.org/mlds.html
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🗞️[TMIM Notes] Oct 23 2021🗞️
MLC@Home is out with a long overdue update! Information on DS3 analysis, a server glitch, client updates and DS4.
Read more at: mlcathome.org/mlcathome/foru #boinc
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Dataset 1 is now complete! Download links coming soon, along with DS3, which is also complete. DS2 now crunching, and DS4 will begin soon! #milestone #boinc
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We've hit over 10,000 separate computers crunching away to help us understand machine learning models!
You can help out too, learn more at mlcathome.org #boinc #ml
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🗞️TMIM Notes] Aug 6 2021🗞️
"DS3 is complete" edition! This month's update for MLC@Home includes notes on a frustrating Windows dev issues, DS3 complete, DS4 update, and more.
Read more at: mlcathome.org/mlcathome/foru #boinc
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🗞️[TMIM Notes] July 1 2021🗞️
MLC@Home is celebrating its first birthday! Click below for an update on the last 12 months, and goals for what's next as the only public #BOINC project focused on #ML!
🍰🎉🥳Thanks again to all our volunteers! 🍰🎉🥳
mlcathome.org/mlcathome/foru
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🗞️[TMIM Notes] Jun 8 2021🗞️
Updates on the new client with DS4 support, a note on disk space on the server, and a move to monthly updates instead of weekly ones moving forward.
Read the update and join the discussion at mlcathome.org/mlcathome/foru
#boinc
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🗞️[TWIM Notes] May 1 2021🗞️
A long overdue update, including a server glitch, a note about MLC issues when running boinc with systemd sandboxing on Linux, and notes on the imminent release of a new client for DS4.
Read more at: mlcathome.org/mlcathome/foru #boinc
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#DistributedComputing & #CitizenScience:
Das #MachineLearning & #AI Projekt präsentiert seine erste Publikation:
arxiv.org/abs/2104.10555
#DC #VC #KI #BOINC #Rechenkraft
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MLC@Home and MLDS: A Dataset for Weight-Space Analysis of Neural Networks
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🗞️[TWIM Notes] Apr 22 2021🗞️
Lots of news these past few weeks. Paper released, BOINC workshop presentations and more...
Read more at: mlcathome.org/mlcathome/foru #boinc
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MLC@Home is happy to announce our first publication based on the efforts of our volunteers:
"MLDS: A Dataset for Weight-Space Analysis of Neural Networks"
arxiv.org/abs/2104.10555
#boinc #dataset #machinelearning #ML #neuralnetwork
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🗞️[TWIM Notes] Mar 9 2021🗞️
A proper update this week!
Information on the 2021 BOINC workshop next week, where we'll present MLC and release our first paper!
Read more at: mlcathome.org/mlcathome/foru #boinc
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Show this thread
Please join us for the 2021 BOINC Workshop (*this year, online), the annual showcase for research enabled by BOINC, and an open forum to discuss the technology and community. Three Wednesdays in April: 14, 21, 28. Learn more and register at
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MLC@Home has requested a slot to present at the 2021 BOINC (Virtual) Workshop. If you're interested in BOINC as a platform and learning about other projects, please consider joining us for this (free!) virtual conference.
More information here:
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🗞️[TWIM Notes] Mar 9 2021🗞️
New client in the works, adds support for DS4, updates ROCm support, PyTorch v1.8 and more.
Read more at: mlcathome.org/mlcathome/foru #boinc
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🗞️[TWIM Notes] Feb 23 2021🗞️
Small update this week, with updates on the paper and more.
Read the update here: mlcathome.org/mlcathome/foru #boinc
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MLC@Home is releasing datasets containing thousands of trained neural networks to facilitate weight space analysis.
This example shows UMAP clustering in the weight-space of networks trained with the same data.
Find datasets/info at mlcathome.org #ML #neuralnetwork
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