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Hi

> Hey There!, I am Yubin Xie

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  • ☁️ I am a machine learning scientist in a cool startup: noetik.ai
  • 🔭 I work on machine learning, biology & medicine

  • ⚡ I just warpped up my PhD
  • 🤖 Beyond my research, I'm deeply interested in the future of language models (LLM) and AI in our society and the medical field. I believe that these technologies have the potential to revolutionize healthcare and improve patient outcomes.


- I worked on:
- ⚡ organizing NeurIPS 2023 ICBINB [workshop](https://sites.google.com/view/icbinb-2023/)
- ⚡ organizing ICML 2023 computational biology [workshop](https://icml-compbio.github.io/)

Yubin's Projects

caffe2 icon caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mnn2017 icon mnn2017

Code for the MNN manuscript figures

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

watershed icon watershed

A Python implementation of the watershed image segmentation algorithm

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