455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES

Everything you could
study, filtered.

Every video, chapter, paper and repository in the programme, as one card each, with the time it costs and why it is there. Filter by how long you have.

Type Watch Read Run Track Biology AI & stats Build Craft Depth Core Optional Time ≤15 ≤30 ≤60 Week This week Clear all

1/14 Read 30 min? W16 Monday Craft

bioRxiv submission guide

Monday build block · Read it inside Monday's build block

Build-block reading · bioRxiv submission guide (biorxiv.org/submit-a-manuscript)

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In: LABLOOP-W16 Notebook

2/14 Read 40 min W16 Tuesday Biology

Lin et al. (2023), "Evolutionary-scale prediction of atomic-level protein structure with a langu…

Lin et al. (2023), "Evolutionary-scale prediction of atomic-level protein structure with a language model", Science 379(6637):1123-1130 — abstract, introduction and figures (40 min)

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3/14 Watch 40 min W16 Tuesday Biology

MIT 6.874 Deep Learning in the Life Sciences

Tuesday · after Lin et al. (2023), "Evolutionary-scale prediction of atomic-level protein structure with a langu…

MIT 6.874 Deep Learning in the Life Sciences (Manolis Kellis, 2021, YouTube playlist), protein lecture (first 40 min)

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4/14 Read 60 min W16 Thursday AI & stats

Angelopoulos & Bates

Angelopoulos & Bates (2021), "A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification", arXiv:2107.07511, sections 1-2 (60 min)

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In: LABLOOP-W16 Notebook