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Migrate all project files from repo root into prj/<name>/

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Moved all 40 existing projects' .prj/.dat files (Layer weights, training
batches, legacy .weights.dat/.test.dat artifacts) from the flat repo root
into their own prj/<name>/ folder via git mv, matching the new path
convention from the previous commit. Filenames are unchanged, only the
directory. Non-project files at root (CLAUDE.md, Makefile, batch/moby
text corpora, the stray Layer.0.training.mat) were left in place.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016K8Gu7Qejd11JbdiHZqYAs
This commit is contained in:
jens
2026-07-27 14:44:08 +02:00
co-authored by Claude Sonnet 5
parent ca27e1e705
commit 60da2f0b04
386 changed files with 0 additions and 0 deletions
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prj/1-hot/1-hot.Layer.0.bh.dat
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ARMA_MAT_TXT_FN008
1 4
5.1589597819557442e-01 5.1539943990641446e-01 5.6919513263227206e-01 4.5342012006335786e-01
prj/1-hot/1-hot.Layer.0.bv.dat
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ARMA_MAT_TXT_FN008
1 8
-1.4372287383353004e+00 -1.3574473931864506e+00 -1.5051348625316983e+00 -1.5265949247877972e+00 -1.3779941710258201e+00 -1.3666881809069291e+00 -1.4913579630284233e+00 -1.3430676161433581e+00
prj/1-hot/1-hot.Layer.0.w.dat
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ARMA_MAT_TXT_FN008
8 4
7.9503124090188959e-01 -3.7857553331286448e-01 -3.4545404493714815e-01 -1.4683719698424624e+00
-4.0648194511737556e-01 -2.3102556431954374e-01 1.7100406207665692e-01 -7.8016263249785145e-01
1.6046507786344916e-01 -1.7768678294460496e+00 2.3464086065916914e-01 1.7688777534426815e-02
7.1674739088161699e-01 -8.4322040574324730e-01 -2.0328810488583748e+00 6.6737103014729504e-01
-1.3993576727578281e+00 -1.0160599616973540e+00 -5.2571646982632081e-01 1.2514081761160443e+00
6.0120929333672753e-02 3.6830292325515079e-01 -3.9688463006818592e-01 -1.4244113422519060e+00
-1.3858947715393659e+00 -4.7516503544178940e-01 9.9913458362398100e-01 -6.5475936156731085e-01
-1.5012258291997715e+00 1.3490922414142317e+00 -1.0455935948718296e+00 -6.2455327913575831e-01
prj/1-hot/1-hot.prj
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{
"stack" :
{
"layers" :
[
{
"id" : 0,
"name" : "Layer",
"numContext" : 0,
"numHidden" : 4,
"numVisibleX" : 8,
"numVisibleY" : 1,
"rbm" :
{
"params" :
{
"doRaoBlackwell" : 1,
"doSampleBatch" : 0,
"gibbsDoSampleHidden" : 1,
"gibbsDoSampleVisible" : 0,
"learningRate" : 0.10000000000000001,
"miniBatchSize" : 100,
"momentum" : 0.5,
"numEpochs" : 1000,
"numGibbs" : 1,
"weightDecay" : 0.0
}
}
}
],
"name" : "1-hot",
"type" : 1,
"type_string" : "Deep"
}
}
prj/1-hot/1-hot.training.dat
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ARMA_MAT_TXT_FN008
8 8
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0.0000000000000000e+00 1.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00
0.0000000000000000e+00 0.0000000000000000e+00 1.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00
0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 1.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00
0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 1.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00
0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 1.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00
0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 1.0000000000000000e+00 0.0000000000000000e+00
0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 1.0000000000000000e+00