Uniswap is now on v3 and beyond. This old post is now very obsolete, and thus removed to avoid misleading anyone looking for relevant info online!
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In my previous post, I described how I built a Singularity container with an editable fastai2 installation for use in the new iteration of their Deep Learning Part 1 course (aka ‘part1-v4’), which is currently on-going.
In this post I would like to share (and record for my own future reference!) my exploratory use of fastai2 on a dataset/challenge that is of interest in the built environment, which is an obvious area of focus for my company Arup.
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Due to covid-19 social (distancing) responsibility, a lot of people are now having to work from home (WFH). For me, this means having to connect to the company VPN for file access, remote-desktop for data visualisation on HPC, and online-only communications including frequent video calls and screen-sharing.
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The awesome people at fast.ai started the 2020 iteration (aka ‘part1-v4’) of their wildly popular Deep Learning Part I course earlier this month, running it entirely online because of covid-19 social (distancing) responsibility.
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A plug for JavaScript API in Oasys LS-DYNA Environment.
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Just testing out Jekyll for blog : )