117 Commits (new-sep-loss)
 

Author SHA1 Message Date
Michael Pilosov, PhD f0a4c940af bg filling 9 months ago
Michael Pilosov, PhD 04ff370bbb wip 9 months ago
Michael Pilosov, PhD 90f08a5edb paths 9 months ago
Michael Pilosov, PhD 831f17a9b4 tweaks + path changes 9 months ago
Michael Pilosov, PhD 698f6f1b51 seeds 9 months ago
Michael Pilosov, PhD 13dd754ba6 nice set of params 9 months ago
Michael Pilosov, PhD a97055f282 GNU parallel 9 months ago
Michael Pilosov, PhD d1b963e05d minimal requirements. 9 months ago
Michael Pilosov, PhD f3bc1e90d3 ignore npy 9 months ago
Michael Pilosov, PhD b95cb8df3d cuda libs 9 months ago
Michael Pilosov, PhD 527cc285f3 drop in cuml 9 months ago
Michael Pilosov, PhD 95a6adac91 lint 9 months ago
Michael Pilosov, PhD 447b773d03 no annotate, update target 9 months ago
Michael Pilosov, PhD 00cba285c8 minor tweaks, check annotations 9 months ago
Michael Pilosov, PhD 9953327d30 copy over color files, use new plotting 9 months ago
Michael Pilosov, PhD 0ae8414481 syntax, no diff 10 months ago
Michael Pilosov, PhD 2af491c324 tweak metric 10 months ago
Michael Pilosov, PhD 5687f30818 back to "correct" metric 10 months ago
Michael Pilosov, PhD 5def982f12 recreate iris looking result. weird though. 10 months ago
Michael Pilosov, PhD a9e772f34e restrict experiment, add loop option + dropout 10 months ago
Michael Pilosov 697030b7df partial unsupervision 10 months ago
Michael Pilosov f450611ce3 pin requirements 10 months ago
Michael Pilosov, PhD 0c4990e98c remove depth = 8 and switch to relu 10 months ago
Michael Pilosov, PhD 05dd4e29ce sequential instead of loopback 10 months ago
Michael Pilosov, PhD d318480b7c circle norm bad for supervise? 10 months ago
Michael Pilosov, PhD 1c116f3f12 benchmark supervised again 10 months ago
Michael Pilosov, PhD c7ffd09fb4 lr scheduler 10 months ago
Michael Pilosov, PhD 4342a54cc8 anchors and more train data, exp w batch 10 months ago
Michael Pilosov, PhD 248d1a72f9 re-anchor, pretty meh results in-batch 10 months ago
Michael Pilosov, PhD 9e4861a272 try unsupervised again, but with 10k random samples 10 months ago
Michael Pilosov, PhD e5b6f287a3 xkcd colors may be too few to learn from. need 10x 10 months ago
Michael Pilosov, PhD 865e7f5104 supervised questionable 10 months ago
Michael Pilosov, PhD b6d9f94d8e tracked down the losses bug 10 months ago
Michael Pilosov, PhD 953488be4c remove modulo from 3-space 10 months ago
Michael Pilosov, PhD 0e561aae4c big batch 10 months ago
Michael Pilosov, PhD 30470f13bc unsupervised results looking stunning 10 months ago
Michael Pilosov, PhD 70f56ff9f0 cleanup temp files from interrupts 10 months ago
Michael Pilosov, PhD 3adcc9779a type hint, rename vars 10 months ago
Michael Pilosov, PhD a49f166252 seems to learn (supervised) consistently now 10 months ago
Michael Pilosov, PhD a44580a15b depth of 1 led to consistently bad learning 10 months ago
Michael Pilosov, PhD eee8a8b0ba update page 10 months ago
Michael Pilosov, PhD 6260e7fdd3 restrict optimizers 10 months ago
Michael Pilosov, PhD 467b3f7e57 entirely supervised 10 months ago
Michael Pilosov, PhD 1da8d3194a first one w weighted alpha 10 months ago
Michael Pilosov, PhD b5d9e725b3 allow for mix of supervised and not with alpha 10 months ago
Michael Pilosov, PhD 721993d9e5 switch to unsupervised 10 months ago
Michael Pilosov, PhD b9d334e49a weird setup, but sometimes possible to learn labels 10 months ago
Michael Pilosov, PhD 07b4e548e2 lets make sure this can learn via supervision first 10 months ago
Michael Pilosov, PhD 948bc31861 cull experimental range 10 months ago
Michael Pilosov, PhD fff2b88fa1 job updates 10 months ago