sponsors

An open API service aggregating public data about GitHub Sponsors.

borda

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Computer Vision & Machine Learning & Bio-Medical Imaging & #DeepLearn & Kaggle Master

Funding Links: https://github.com/sponsors/Borda

GitHub Sponsors Profile

I am working in Machine learning and Data science for several years. In particular, I am focusing on computer vision but still, I keep in touch on wider machine learning or robotic. I have obtained my PhD in Medical Imaging. In parallel, I gain practical experience while I have been working for a few IT companies as a consultant or data scientist. Actually, I am focusing on exploring interesting world problems and solving them with state-of-the-art techniques.
Academic services
I have published several journal publications as well as papers on international conferences such as ISBI, ICIP, ACCV and MICCAI workshops. I am also a regal reviewer for these conferences and some IEEE journals. I was the main organiser of the ANHIR challenge.
Community/contributor's work
I have developed several open-source python packages, I am a core-contributor of pytorch-lightning and actively participating in other well-known projects like scikit-image, auto-sklearn, dipy, etc.; writing code, reporting issues and reviewing PRs.

Featured Works

Borda/pyImSegm

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

Language: Python - Stars: 373
Borda/BIRL

BIRL: Benchmark on Image Registration methods with Landmark validations

Language: Python - Stars: 91
Borda/pyBPDL

Binary Pattern Dictionary Learning for gene activation in microscopy images

Language: Python - Stars: 8
Lightning-AI/pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Language: Python - Stars: 28489
Borda/ij-CMP-BIA

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

Language: Java - Stars: 2
Borda/docker_python-opencv-ffmpeg

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

Language: Dockerfile - Stars: 74

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