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400 contributions in the last year
Contribution activity
October 2020
Created a pull request in PyTorchLightning/pytorch-lightning that received 11 comments
[Metrics] Unification of regression
What does this PR do? Attempt at unification between the new class based regression metrics and their functional counterpart. In short, each funct…
- [Metrics] MetricCollection
- [Metrics] Detach bugfix
- New section for changelog [ci skip]
- Speedup of metric tests
- Update explained variance metric
- Remove limitation of batch scaler
- [skip ci] metric docs
- Skip tuner algorithms on fast dev
- Fix lr finder for optimizers with states
- Batch scaler docs
- [metrics] Accuracy error fix
- fix typos in docs: remove redundant whitespace in new-project.rst
- update old references to filepath in ModelCheckpoint docs
- add bug_report_model to bug_report
- add test if no loss is provided
- Update __init__.py
- [Metrics] Fix/4237 auc unstable reorder
- Set correct device ids in DDP [wip]
- Add dirpath and filename parameter in ModelCheckpoint
- Clean up optimizer code
- Fix info message when EarlyStopping 'mode' not provided [ci skip]
- add svg logo [SKIP CI]
- Skip replacing dataloader sampler if it's already a distributed sampler
- Corrected f_beta computation
- update examples
- [Metrics, fix] Fix unintended zero-only target in iou example
- update stale bot
- CI: add flake8
- allow codecov upload to fail
- move base req. to root
- update PR template
- remove unused folder
- limit monitor callback with log_every_n_steps
- Update multi_gpu.rst
- Add load_from_checkpoint function to Loading docs
- Annotate return type of TrainerProperties.from_argparse_args(...)
- Some pull request reviews not shown.

