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For my latest attempt at introducing proteins to students, I made a Google Colab Notebook that predicts proteins from a single sequence. I asked the students to tweak the sequence to get a helix or two helices or... (1/5)
https://t.co/eRufxDAkWm https://t.co/KLkfrvetL8
Nick Remlinger
@nickremlinger
I recently gave a tutorial on knowledge distillation for LLMs, explaining the mathematical derivations behind the commonly used methods. Sharing the slides here given the recent interest in this topic.
https://t.co/u1LYcY4s7G https://t.co/1bdCQ9o9Vy
Denoising Diffusion Probabilistic Models (DDPMs) have been a game changer for image & audio generation. But can they also be used for neural signals?
With Julius Vetter, @jakhmack & @_rdgao, we adapt DDPMs to generate multivariate and densely sampled EEG, LFP & ECoG signals! 1/6 https://t.co/GlNGPI7Oxl
Machine Learning in Sciencex.com
Neil Parikh
@njp
Embeddings
Nicolay Gerold • 4 cards