Joined July 2021
1 Photos and videos
ashpyxia retweeted
2 Oct 2021
Extremely powerful bass and rolling shutter effect can make your car look like rubber, especially in slow motion [source and full video: buff.ly/2FMOrXH]
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ashpyxia retweeted
15 Sep 2021
Did you ever want to learn how to read ROC curves? 📈🤔 This is something you will encounter a lot when analyzing the performance of machine learning models. Let me help you understand them 👇
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ashpyxia retweeted
We have also just released the PDF Version of our Physics-based Deep Learning book. It can come in handy if you want to read it offline in one go: arxiv.org/pdf/2109.05237.pdf
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ashpyxia retweeted
Solving linear systems comes with different flavors. en.wikipedia.org/wiki/Least_…
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ashpyxia retweeted
14 Sep 2021
🐙 MLOps Basics 🐙 This is really cool! It includes a set of hands-on guides to understand the basics of MLOps. From building the machine learning model to deploying it. It looks very useful to learn about the technology stack for ML engineering. github.com/graviraja/MLOps-B…
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ashpyxia retweeted
🧠 Would you like to learn about Graph Neural Networks? Stanford is organizing a workshop with leaders of academia and industry. 🤖 The schedule looks amazing and will be streamed for free! You can register at snap.stanford.edu/graphlearn…
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ashpyxia retweeted
13 Powerful Psychology Hacks To Improve Your Concentration And Build Self Discipline | Thread
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ashpyxia retweeted
Some kinds of data and their preferred neural network types: ◆ Tabular data: Densely connected neural networks. ◆ Images: 2D Convolutional neural networks (a.k.a Convnets). ◆Texts: Recurrent Neural Networks(RNNs), transformers, or 1D Convnets.
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ashpyxia retweeted
7 Aug 2021
“The club is above everything -- even above the best player in the world" trib.al/HxKqgLV

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ashpyxia retweeted
5 differences between a research paper and review paper @PhDspeaks @PhDVoice @PhDfriendSana @AcademicDilemma #phd #research #researcher #AcademicTwitter #AcademicChatter #phdlife #phdtips
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ashpyxia retweeted
2 Aug 2021
I think it's healthier, productive, and more realistic to give yourself a year or two to properly study and practice machine learning. Don't force the knowledge or set unrealistic goals. Spread out tasks and lectures. Write custom code and train models. It'll be a lot more fun.
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ashpyxia retweeted
Then I ended up rewatching my fav series
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ashpyxia retweeted
2 Aug 2021
Raptors on Super Heavy
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ashpyxia retweeted
29 Jul 2021
Tesla AI Day August 19th
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ashpyxia retweeted
1 Aug 2021
People in Japan donated their old phones to make 5,000 Tokyo 2020 Olympic medals
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ashpyxia retweeted
31 Jul 2021
High end gaming PCs are too powerful for California and several other states new regulations to handle. trib.al/PA4E9FR

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ashpyxia retweeted
31 Jul 2021
People in Japan donated their old phones to make 5,000 Tokyo 2020 Olympic medals
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ashpyxia retweeted
31 Jul 2021
Do not use your energy to worry. Use your energy to believe, to create, to learn, to think and to grow. —Professor Richard Feynman
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ashpyxia retweeted
“I don’t spend my time pontificating about high-concept things; I spend my time solving engineering and manufacturing problems.” - Elon Musk
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