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Florian Schiffel
ICV-mmengine_basecode
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[Doc]: Add README.md (#493)
[Docs] update data element tutorials (#431)
[Doc]: Fix docs and docstring of config (#497)
use image without watermark (#496)
[Docs] Migrate model from mmcv (#473)
[Fix] fix runner docs (#495)
[Fix] Exception while building registered function (#491)
[Docs] migrate runner from mmcv. (#457)
[Docs] add an example for gan training (#453)
Add the distributed training script (#487)
[Docs] Refine config docs. (#432)
[Docs] Add model docs (#416)
[Docs] Add data transform tutorials (#455)
[Refactor]: Avoid creating instances with the same name (#483)
[Docs] Make API of docs clearer (#469)
[Docs] Simpify logging tutorials (#452)
[Fix] Path mapping only once in storage backends (#490)
[Docs] Describe how to migrate hook from mmcv (#451)
fix(CircleCI): Set MKL_THREADING_LAYER=GNU in dockefile (#484)
[Doc] Add README_zh-CN.md and CONTRIBUTING.md (#480)
[Refactor] add testing utils (#475)
[Docs] Add fileio tutorials (#420)
[Fix] Fix typo in docs. (#485)
[Docs] Add data transform migration docs (#460)
[Docs] Cross library import examples. (#461)
[Docs] refine metric/evaluator docs (#442)
[Doc]: Add mmengine demo and do some modifications for it. (#363)
[Doc]: Add introduction of mmengine in get_started.md (#481)
[CI] Full tests (#402)
[Docs] Refine registry docs (#443)
[Docs] Add resume training examples (#407)
[Docs] Add docs for `OptimWrapper` (#411)
[Fix] Regist pytorch ddp and dp to `MODEL_WRAPPERS`, add unit test to `is_model_wrapper` (#474)
Fix set_random_seed (#477)
[Doc]: Explain the priority of dataset.metainfo in basedataset.md (#476)
[Enhance] Support pass arguments to `OptimWrapper.step/backward/zero_grad` (#472)
[Fix] Fix EMAHook trigger train loop and AveragedModel sync buffer. (#467)
[Docs] How to migrate scheduler. (#456)
[Fix] Add `set_random_seed` function in MMEngine (#464)
[Docs] Add visualizer docs (#418)
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