cudf,borda

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This project forked from rapidsai/cudf

cuDF - GPU DataFrame Library

License: Apache License 2.0

Shell 0.26% C++ 42.75% Python 19.72% C 0.03% Java 9.41% Cuda 24.74% HTML 0.01% CMake 0.53% Cython 2.56% Dockerfile 0.01%

cudf's Introduction

Hi there 👋

I have been working in Machine learning and Data science for several years. I have done my Ph.D. in Medical Imaging. I have gained practical experience working for a few IT companies as a consultant, data scientist, or research engineer. I focus on exploring interesting world problems and solving them with state-of-the-art techniques.

Academic track: I have published several journal articles and papers on international conferences such as ISBI, ICIP, ACCV, and MICCAI workshops. I am also a reviewer for these conferences and other IEEE journals. I was the main organizer of the ANHIR challenge.

Developer track: I have created several open-source Python packages, and I am a leading contributor to PyTorch-Lightning and other Lightning projects. I also actively participate in other well-known projects like auto-sklearn, yolov5, dipy, etc., with writing code, reporting issues, building CI/CD, and reviewing PRs.

Manager track: I led a small team while developing a video analysis tool. I have been leading & managing the Lightning team responsible for our open-source projects.