dvclive
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iterative
📈 Log and track ML metrics, parameters, models with Git and/or DVC
DVC removed the donate badge. See https://github.com/iterative/dvc/pull/7862. > See https://github.com/iterative/dvc/pull/7859#pullrequestreview-998911416. Donate badges/buttons seem unnecessary and might not be well received since DVC is developed and maintained by a for-profit org....
# Motivation Other popular *ML Loggers* have methods for logging and tracking *hyperparameters*: - [Wandb](https://docs.wandb.ai/guides/track/config) - [MLFlow](https://mlflow.org/docs/latest/python_api/mlflow.html#mlflow.log_param) - [CometML](https://www.comet.ml/docs/python-sdk/Experiment/#experimentlog_parameter) - [Neptune](https://docs.neptune.ai/you-should-know/what-can-you-log-and-display#parameters-and-model-configuration) The existence of these methods are useful when building...
Can we automatically add a `.dvcignore` in the live dir when html/markdown output is generated? I don't think anyone wants to track these with DVC, and they break patterns like...
This project happened before py-template, but would it be possible to structure it like how we do in `py-template` and make workflow simpler?
- [x] #225 - [x] #272 - [x] #246 - [x] #273 - [ ] #326 - [ ] #231 - [ ] #332 - [ ] #323 - [...
Should focus on answering and providing examples, as clear and soon as possible, for: - How to make it work with `DVC`. - How to make it work with `{X}`...
During my evaluation stage, I plot a simple line plot where the x values are predefined, and the y values are calculated from truth and predicted values, and are informative...
I added the following configuration to my mmcv, mmdet training config. ``` log_config = dict( hooks=[ dict( type="DvcliveLoggerHook", path="{{ fileDirname }}/../live", interval=1, by_epoch=True, ), ], ) ``` I would expect...
