Jaswinder Singh @_SinghJaswinder

ML Engineer Perth Joined December 2019

Tweets

16
Followers

21
Following

184
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42

François Chollet @fchollet

3 years ago

If you're interested in the relationship between TensorFlow and JAX, check out this post. In summary: - JAX fits the needs of researchers (which are in most ways opposite to the needs applied ML, especially in production) - TF/Keras fits the needs of applied ML, prod, mobile...

TensorFlow @TensorFlow

3 years ago

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Roshan Rao @proteinrosh

4 years ago

Here’s a video of my talk! I tried to make it relatively accessible to people without much background in either biology or ML. Definitely unbiased reviewers (my roommates) suggest I at least partially succeeded. youtu.be/hcJS9d09ECA

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Jaakko Lehtinen @jaakkolehtinen

4 years ago

Code for #StyleGAN3, the official implementation of Alias-Free Generative Adversarial Networks (NeurIPS 2021), now available at github.com/NVlabs/stylega… @NVIDIAAIDev @CSAalto @FCAI_fi

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rna-tools @rna_tools

4 years ago

Get you RNA sequences in color, copy-pastable further, directly in the PyMOL, something short, sweet and to the point, a function missing in naked PyMOL. PyMOL4RNA, `seq` function, from rna-tools. github.com/mmagnus/rna-to…

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EMBL-EBI @emblebi

4 years ago

How can #AI help us speed up scientific discovery? We’ve teamed up with @DeepMind to make #AlphaFold protein structure predictions freely and openly available to the scientific community. ebi.ac.uk/about/news/pre… #FAIRdata #structuralbiology #opendata

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IOC MEDIA @iocmedia

4 years ago

BRISBANE 2032 ELECTED AS HOST OF THE GAMES OF THE XXXV OLYMPIAD! CONGRATULATIONS!

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Demis Hassabis @demishassabis

4 years ago

Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in @Nature w/open source code. Excited to see the research this enables. More very soon! bit.ly/alphafoldmetho… bit.ly/alphafoldgithub

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Minkyung Baek @minkbaek

4 years ago

Glad to share our latest AI-driven protein structure prediction method, RoseTTAFold!! Just out in @ScienceMagazine paper:science.sciencemag.org/content/early/…

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Aran Komatsuzaki @arankomatsuzaki

4 years ago

Deduplicating Training Data Makes Language Models Better Finds that deduplication allows us to train models that emit memorized text ten times less frequently and require fewer train steps to achieve the same or better accuracy. arxiv.org/abs/2107.06499

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Rivers Have Wings @RiversHaveWings

4 years ago

vice.com/en/article/n7b…

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Jonathan Kipnis 💔🎗️ @jonykipnis

4 years ago

If you’re an advanced grad student, don’t wait for your paper acceptance to look for post doc opportunities. Reach out and engage with potential PIs at least 6-8 months before you’re ready to start. The best timing is when you have just submitted your first-authored paper.

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JCIM & JCTC Journals @JCIM_JCTC

4 years ago

#RNA Backbone Torsion and #Pseudotorsion Angle Prediction Using Dilated Convolutional Neural Networks pubs.acs.org/doi/10.1021/ac… #current_issue #MachineLearning

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RNA-Seq Blog @RNASeqBlog

4 years ago

Researchers from @Griffith_Uni have established RNAcmap, a fully automatic pipeline that enables evolutionary coupling analysis for any #RNA sequences. rna-seqblog.com/rnacmap-a-full…

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François Chollet @fchollet

5 years ago

Neat package: "DeepXi is used for speech enhancement, noise estimation, for mask estimation, and as a front-end for robust ASR" github.com/anicolson/Deep…

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rna-tools @rna_tools

6 years ago

The datasets of models submitted to the RNA Puzzle experiments now updated for the RNA Puzzle IV paper! Enjoy, high-quality models :-) github.com/mmagnus/RNA-Pu…