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Jirka Borovec Borda

Computer Vision & Machine Learning & Bio-Medical Imaging & Deep Learning

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Highlights

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pyImSegm

Image segmentation - general superpixel segmentation & center detection & region growing

Python 167 50
BIRL

BIRL: Benchmark on Image Registration methods with Landmark validations

Python 39 15
pyBPDL

Binary Pattern Dictionary Learning for gene activation in microscopy images

Python 5
PyTorchLightning/pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

Python 7k 802
ij-CMP-BIA

Extension for ImageJ (Fiji) by BIA segmentation methods as plugins and some other useful API for image segmentation.

Java 1 8
docker_python-opencv-ffmpeg

Forked from Valian/docker-python-opencv-ffmpeg

Dockerfile containing FFmpeg, OpenCV4 and Python2/3, based on Ubuntu LTS

Dockerfile 17 13

1,802 contributions in the last year

Activity overview

Contributed to PyTorchLightning/pytorch-lightning, PyTorchLightning/pytorch-lightning-bolts, Borda/BIRL and 5 other repositories

Contribution activity

July 2020

Borda/drop2 C++ Jul 23
Borda/yolov5 Python Jul 16

Created a pull request in ultralytics/yolov5 that received 32 comments

add GH action CPU tests

Adding CPU CI testing using GH action, native to Github described in #407

+89 −2 • 32 comments

fix nb tests for auto-merge Jul 24
missing chlogs Jul 22
fixing TPU tests Jul 17
add simple CircleCI Jul 14
simplify tests Jul 11
Avoid zeros in dice and iou Jul 9
run full TPU pytests Jul 8
conda speedup Jul 7
use XLA base image for TPU testing Jul 7
Take back "join coverage" [wip] Jul 4
Docker: building XLA base image Jul 3
DDp interpreter Jul 3
fix gpu example Jul 2
missing changelog Jul 2
join coverage Jul 2
continue develop Jul 1
cleaning for 0.8.4 Jul 1
try adding coverage Jul 1

explicite Imports Jul 24
make installable package Jul 21

add CLI tests [wip] Jul 15
Docs/links Jul 1

update for ITK 5.0 Jul 23

add Docker for experiments Jul 4

fix checkpointing on TPU Jul 27
cpu backend Jul 27
Correct CWD for ddp subprocesses when using Hydra Jul 27
Add Rohit (rohitgr7) to core Jul 25
refactor 1/n for v1.0.0 Jul 25
Bugfix/torchtext include lengths Jul 25
Fix weights_save_path when logger is used + simplify path handling + better docs Jul 25
Add Peter Yu (yukw777) to core maintainers Jul 24
remove duplicate tests Jul 24
Add a GKE cleanup workflow to run once per hour. Jul 24
support num_sanity_val_steps=-1 Jul 23
quick-fix for --gpus flag bug Jul 22
Horovod: adjust base LR used by schedulers to scale with the number of workers Jul 22
metrics: add SSIM Jul 22
EvalResult support for val loop (PR 3/5) Jul 22
Datamodule Jul 22
docs: clarify which shuffle argument (follow up to #2630) Jul 21
fix dtype/device property not getting updated in submodules Jul 21
fixing TPU tests Jul 21
[docs] add ray tune tutorial link to sidebar and readme Jul 20
Structured results (train loop only. val loop separate PR) (PR 2/5) Jul 20
Fix typo Jul 20
Add onnx export Jul 20
Fix typo of handling Jul 16
metrics: add BLEU Jul 16
Some pull request reviews not shown.

Multi env refactor Jul 24
[WIP] add focal_loss and label_smoothing_loss Jul 19
Confused logit callback Jul 15
fix for Tests Hanging Jul 14
Correct typos in introduction_guide.rst Jul 14
RL models clean up Jul 12
update save checkpoints Jul 12
Fixed the unused train/val/test Mnist transforms Jul 12
Enhancement/train batch function Jul 3
Gan Jul 1
Enhancement/changelog Jul 1

Fix redundant outputs via Logging in DDP training Jul 24
add GH action CPU tests Jul 16

TPU CI testing Jul 15

[NF] add new linear transforms for Rigid+IsoScaling and Rigid+Scaling Jul 2

pytorch-lightning v0.8.4 Jul 1

Created an issue in pytorch/xla that received 31 comments

terminate called after throwing an instance of 'std::runtime_error

🐛 Bug We are running tests on Colab and GCP with TPU and they are failing which started a few days ago (not sure if it prure XLA issue or our bad u…

31 comments

CI: proper Conda caching Jul 3
Create base TPU image Jul 3

too long setup phase & caching Jul 7

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