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| <!DOCTYPE html> | |
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| <title>IFM vs. Marin: pretraining, data and post-training stacks</title> | |
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| <!DOCTYPE html> | |
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| <meta charset="utf-8"> | |
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| <title>Expected MFU for the 535B-A23B hero on a Megatron stack instead of Levanter</title> | |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1"> | |
| <title>Covering the competency map and the task curriculum: where Marin's RL environments come from</title> | |
| <style> | |
| :root { | |
| --ink: #1a1a2e; --ink-secondary: #555770; --ink-faint: #8a8a9a; | |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1"> | |
| <title>Looped transformer for Marin's grug templates: proposed issue and replication plan for arXiv 2609.19107</title> | |
| <style> | |
| :root { | |
| --ink: #1a1a2e; --ink-secondary: #555770; --ink-faint: #8a8a9a; | |
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| # [invalid-]evidence-data | |
| evidences: | |
| gs_output_dir: evidence-files | |
| downloads: | |
| - bucket: otar000-evidence_input/CRISPR/json | |
| output_filename: crispr-{suffix}.json.gz | |
| resource: input-file | |
| subset_key: | |
| - target | |
| - id |
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| # relation-data | |
| ddr: | |
| evidence-count: 3 | |
| score-threshold: 0.1 | |
| # association-data | |
| scoring_weights: | |
| crisp: 1 | |
| europepmc: 0.2 | |
| expression_atlas: 0.2 |
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| FROM ubuntu:17.10 | |
| ENV LANG C.UTF-8 | |
| RUN apt-get update && \ | |
| apt-get install -y python3 python3-pip libxml2-dev zlib1g-dev wget git cmake && \ | |
| apt-get clean | |
| RUN apt-get install -y python3-numpy # not necessary in scanpy 0.2.9.2/0.2.10 |
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| # deconstructSigs signatures.cosmic | |
| library("deconstructSigs") | |
| library("tibble") | |
| signatures.cosmic.tidy <- tibble::rownames_to_column(as.data.frame(t(signatures.cosmic))) | |
| # COSMIC http://cancer.sanger.ac.uk/cancergenome/assets/signatures_probabilities.txt | |
| cosmic.current <- read.delim("http://cancer.sanger.ac.uk/cancergenome/assets/signatures_probabilities.txt", check.names = F) | |
| cosmic.current.clean <- cosmic.current[ , colnames(cosmic.current) != ""] | |
| cosmic.current.tidy <- cosmic.current.clean[,names(cosmic.current.clean) not in c("Substitution Type","Trinucleotide")] |
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| import h5py | |
| # HDF5 file with two arrays: 'trainxdata' (samples) and 'traindata' (labels) | |
| INFILE_SAMPLES = '' | |
| INFILE_REFERENCE_FASTA = '' | |
| OUTFILE_FASTA = 'deepsea_train10k.fa' | |
| OUTFILE_BED = 'deepsea_train10k.bed' | |
| def onehot2base(onehot): | |
| if onehot == [1,0,0,0]: |
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| type sample = { | |
| x : float; | |
| y : float | |
| } | |
| type model = { | |
| theta : float; | |
| beta : float | |
| } |
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