- 14 8月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
removed all partial imports and all import * with the aim of avoiding potential circular imports issues and increase readability. Fixed a couple bugs along the way
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- 13 8月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 12 8月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 08 8月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 05 8月, 2022 2 次提交
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由 Javier Rodriguez Zaurin 提交于
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由 Javier Rodriguez Zaurin 提交于
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- 22 7月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 19 7月, 2022 4 次提交
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由 Javier Rodriguez Zaurin 提交于
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由 Javier Rodriguez Zaurin 提交于
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由 Javier Rodriguez Zaurin 提交于
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由 Javier Rodriguez Zaurin 提交于
Manually bringing all the mkdocs changes to the self supervised branched as the conflicts were somehow too much to make it happen via sublime merge or vscode...I am at utils. After this we need to test callbacks for self supervised. Then the usual overall checks and install checks and make the massive release
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- 18 7月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 01 7月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 09 6月, 2022 3 次提交
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由 Javier Rodriguez Zaurin 提交于
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由 Javier Rodriguez Zaurin 提交于
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由 Javier Rodriguez Zaurin 提交于
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- 21 5月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
Added Self Supervised Pretraining for all tabular models. Need to unit test and surely there will be some code readjustments
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- 17 5月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 11 5月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
Self Supervised runs for 4 attention-based models. The Perceiver will not be supported and not need to test the MLP-ATtention models
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- 10 5月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
Self Supervised seems to be running in a small number of cases. Now I need to test a few more cases. Adjust unit test and re-organise code
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- 07 5月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
Self Supervised Runs for all attention based models. Whether it learns something or not, is a question we still need to answer
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- 04 5月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
Adjusted output and encoder_output dims so that all models can be used with self supervised training
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- 02 5月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 25 4月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
Added base trainers for the Trainer and the BayesianTrainer classes. The base trainers will change as I add self supervised options
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- 22 4月, 2022 1 次提交
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由 Javier Rodriguez Zaurin 提交于
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- 19 4月, 2022 2 次提交
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由 Javier 提交于
[bugfix] model trainer device conflict
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由 Javier Rodriguez Zaurin 提交于
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- 18 4月, 2022 3 次提交
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由 Javier Rodriguez Zaurin 提交于
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由 Javier Rodriguez Zaurin 提交于
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由 Javier 提交于
[bugfix] unable to handle categorical column names with dots
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- 16 4月, 2022 1 次提交
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由 Alexander Shirkov 提交于
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- 15 4月, 2022 3 次提交
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由 Javier Rodriguez Zaurin 提交于
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由 Javier 提交于
Fixed bug related to torchmetrics renaming F1 and FBeta to F1Score an…
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由 Javier Rodriguez Zaurin 提交于
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- 11 3月, 2022 1 次提交
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由 jrzaurin 提交于
adjusting the types so that the library is compatible with the newer version of torch 1.11 and torchvision 0.12
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- 10 3月, 2022 3 次提交
- 08 3月, 2022 2 次提交