Jaswinder Singh @_SinghJaswinder
ML Engineer Perth Joined December 2019-
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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...
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...
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
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
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…
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
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
Glad to share our latest AI-driven protein structure prediction method, RoseTTAFold!! Just out in @ScienceMagazine paper:science.sciencemag.org/content/early/…
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
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.
#RNA Backbone Torsion and #Pseudotorsion Angle Prediction Using Dilated Convolutional Neural Networks pubs.acs.org/doi/10.1021/ac… #current_issue #MachineLearning
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…
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…
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…
Breaking the performance ceiling of RNA secondary structure prediction nature.com/articles/s4146…

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OpenAI @OpenAI
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Stanford AI Lab @StanfordAILab
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Akshay 🚀 @akshay_pachaar
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Albert Einstein @AlbertEinstein
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