Computer Vision
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& Bio-Medical Imaging
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Grid.ai | PytorchLightning
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- linkedin.com/in/jirka-borovec
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The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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docker_python-opencv-ffmpeg Public
Forked from Valian/docker-python-opencv-ffmpeg
Dockerfile containing FFmpeg, OpenCV4 and Python2/3, based on Ubuntu LTS
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4,500 contributions in the last year
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Activity overview
Contributed to
PyTorchLightning/pytorch-lightning,
PyTorchLightning/metrics,
PyTorchLightning/lightning-tutorials
and 5 other
repositories
Contribution activity
April 2022
Created 19 commits in 4 repositories
Created a pull request in PyTorchLightning/pytorch-lightning that received 2 comments
Revert "ci(Mergify): configuration update (#12599)"
This reverts commit 184518c. What does this PR do? turned out is it paid feature and the subscription is not reasonable for this small improvement D…
+0
−27
•
2
comments
Opened 10 other pull requests in 4 repositories
PyTorchLightning/pytorch-lightning
2
open
3
merged
PyTorchLightning/lightning-tutorials
3
merged
Borda/pytorch-lightning
1
closed
PyTorchLightning/metrics
1
merged
Reviewed 47 pull requests in 10 repositories
PyTorchLightning/pytorch-lightning
25 pull requests
- Fix a typo in warning message inside Trainer.reset_train_dataloader
- Remove deprecated get_memory_profile
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Remove the deprecated
pl.callbacks.ProgressBar - Rename loggers/base.py to loggers/logger.py and changed LightningLoggerBase to Logger
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Fix inconsistency when user specifies
weights_save_path -
Better error mesage and type checking for
gpusarg anddevicesarg inTrainer - Support deterministic="warn" in Trainer for Pytorch 1.11+
- Update gather_all_tensors to handle tensors of different sizes
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remove deprecated
model_sizefrom LightningModule - Remove train_transforms in LightningDataModule
- Allow self-reviewing to rerun gatekeeper
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Don't raise a warning when
nn.Modules are not saved under hparams - add PR Gatekeeper
- Fix rich main progress bar update
- Fix printed test accuracy in LightningLite MNIST example
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Fix
LightningLite.runsignature for arbitrary arguments - Provide access to unwrapped model in Lite
- Set a less strict pre-commit Python version
- ci(Mergify): configuration update
- [pre-commit.ci] pre-commit suggestions
- Refactor gpu test to use RunIf
- Remove deprecated LayerSummary and ModelSummary
- Clarification on omegaconf's interpolation support in LightningCLI
- Fix LightningCLI tests with invalid subclass arguments order
- Link full code example for LightningLite
- Some pull request reviews not shown.
PyTorchLightning/metrics
6 pull requests
PyTorchLightning/lightning-tutorials
3 pull requests
PyTorchLightning/lightning-flash
3 pull requests
PyTorchLightning/lightning_sphinx_theme
3 pull requests
Borda/kaggle_sandbox
1 pull request
flairNLP/flair
1 pull request
PyTorchLightning/ecosystem-ci
1 pull request
PyTorchLightning/lightning-transformers
1 pull request
PyTorchLightning/lightning-bolts
1 pull request
Created an issue in PyTorchLightning/lightning-bolts that received 4 comments
Call for core contributors 🧙
4
comments
Opened 2 other issues in 2 repositories
PyTorchLightning/lightning-tutorials
1
open
PyTorchLightning/metrics
1
open
10
contributions
in private repositories
Apr 7 – Apr 8