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e5258b9c66
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typo
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2022-11-24 19:06:13 +00:00 |
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64d646bb13
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rainfall_stats: formatting
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2022-11-24 19:05:35 +00:00 |
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675c7a7448
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fixup
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2022-11-24 19:03:28 +00:00 |
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afc1cdcf02
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fixup
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2022-11-24 19:02:58 +00:00 |
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e4bea89c89
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typo
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2022-11-24 19:01:52 +00:00 |
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a40cbe8705
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rainfall_stats: remove unused imports
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2022-11-24 19:01:18 +00:00 |
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fe57d6aab2
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rainfall_stats: initial implementation
this might reveal why we are having problems. If most/all the rainfall radar
data is v small numbers, normalising
might help.
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2022-11-24 18:58:16 +00:00 |
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3131b4f7b3
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debug2
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2022-11-24 18:25:32 +00:00 |
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d55a13f536
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debug
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2022-11-24 18:24:03 +00:00 |
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1f60f2a580
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do_argmax
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2022-11-24 18:11:03 +00:00 |
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6c09d5254d
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fixup
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2022-11-24 17:57:48 +00:00 |
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54a841efe9
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train_mono_predict: convert to correct format
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2022-11-24 17:56:07 +00:00 |
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105dc5bc56
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missing kwargs
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2022-11-24 17:51:29 +00:00 |
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1e1d6dd273
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fixup
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2022-11-24 17:48:19 +00:00 |
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011e0aef78
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update cli docs
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2022-11-24 16:38:07 +00:00 |
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773944f9fa
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train_mono_predict: initial implementation
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2022-11-24 16:33:50 +00:00 |
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d31326cb30
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slurm train mono: fix partition name
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2022-11-22 17:02:02 +00:00 |
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ce28ac4013
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slurm: add job for train_mono
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2022-11-22 16:58:46 +00:00 |
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3a0356929c
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mono: drop the sparse
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2022-11-22 16:20:56 +00:00 |
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7e8f63f8ba
|
fixup
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2022-11-21 19:38:24 +00:00 |
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ace4c8b246
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dataset_mono: debug
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2022-11-21 18:46:21 +00:00 |
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527b34942d
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convnext_inverse: kernel_size 4→2
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2022-11-11 19:29:37 +00:00 |
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0662d0854b
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model_mono: fix bottleneck
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2022-11-11 19:11:40 +00:00 |
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73acda6d9a
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fix debug logging
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2022-11-11 19:08:38 +00:00 |
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9da059d738
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model shape logging
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2022-11-11 19:03:37 +00:00 |
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00917b2698
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dataset_mono: log shapes
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2022-11-11 19:02:43 +00:00 |
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54ae88b1b4
|
in this entire blasted project I have yet to get the rotation of anything correct....!
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2022-11-11 18:58:45 +00:00 |
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4b2e418ddc
|
finish comment
...oops
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2022-11-11 18:55:35 +00:00 |
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a7a475dcd1
|
debug 2
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2022-11-11 18:38:07 +00:00 |
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bf2f6e9b64
|
debug logging
it begins again
|
2022-11-11 18:31:40 +00:00 |
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481eeb3759
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mono: fix dataset preprocessing
rogue dimension
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2022-11-11 18:31:27 +00:00 |
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9035450213
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mono: instantiate right model
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2022-11-11 18:28:29 +00:00 |
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69a2d0cf04
|
fixup
|
2022-11-11 18:27:01 +00:00 |
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65e801cf28
|
train_mono: fix crash
|
2022-11-11 18:26:25 +00:00 |
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8ac5159adc
|
dataset_mono: simplify param passing, onehot+threshold water depth data
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2022-11-11 18:23:50 +00:00 |
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3a3f7e85da
|
typo
|
2022-11-11 18:03:09 +00:00 |
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3313f77c88
|
Add (untested) mono rainfall → water depth model
* sighs *
Unfortunately I can't seem to get contrastive learning to work.....
|
2022-11-10 22:36:11 +00:00 |
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ce194d9227
|
slurm: customise log file names
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2022-11-10 21:09:34 +00:00 |
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9384b89165
|
model_segmentation: spare → normal crossentropy, activation functions at end
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2022-11-10 20:53:37 +00:00 |
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b6676e7361
|
switch from sparse to normal crossentropy
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2022-11-10 20:50:56 +00:00 |
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d8be26d476
|
Merge branch 'main' of git.starbeamrainbowlabs.com:sbrl/PhD-Rainfall-Radar
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2022-11-10 20:49:01 +00:00 |
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b03388de60
|
dataset_segmenter: DEBUG: fix water shape
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2022-11-10 20:48:21 +00:00 |
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daf691bf43
|
typo
|
2022-11-10 19:55:00 +00:00 |
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0aa2ce19f5
|
read_metadata: support file inputs as well as dirs
|
2022-11-10 19:53:30 +00:00 |
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aa7d9b8cf6
|
fixup
|
2022-11-10 19:46:09 +00:00 |
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0894bd09e8
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train_predict: add error message for parrams.json not found
|
2022-11-10 19:45:41 +00:00 |
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e519b0adb3
|
GzipChildProcess: spawn-stream is buggy IIRC
|
2022-11-09 16:43:05 +00:00 |
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ddbf2cb734
|
slurm-process: -n28 → --exclusive
|
2022-11-04 17:42:50 +00:00 |
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a762664063
|
slurm-process: -n28 fo uniq call
|
2022-11-04 17:23:20 +00:00 |
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0166b4d09e
|
slurm-process: change log file names
|
2022-11-04 17:11:10 +00:00 |
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