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Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Home Page: https://www.supergradients.com

License: Apache License 2.0

Shell 0.24% Python 90.78% Makefile 0.01% Jupyter Notebook 8.95% Dockerfile 0.02%

super-gradients's Introduction

Hi👋

I received my M.Phil. and B.Eng. degrees from The Hong Kong Polytechnic University at 2022 and 2016, respectively. I was a Research Assistant at the same university during July 2020 to March 2021.

I am currently a full-time Computer Vision Engineer. My interests include artificial intelligence, computer vision, image processing, deep learning, machine learning, data science, face recognition, and object detection/tracking. You can know more about me by visiting my personal website and Linkedin.

My favour tech stacks🧑‍💻

  • Programming Language: Python, C++
  • Machine/Deep Learning: PyTorch, MXNet, Tensorflow, ncnn, Scikit-learn
  • Computer Vision: OpenCV, Kornia, Scikit-image
  • Data Science: Pandas, Numpy, Matplotlib, AWS DynamoDB, MongoDB, PostgreSQL, Google Data Studio
  • IDE: Visual Studio Code, PyCharm, Android Studio
  • Cloud Service: AWS
  • Serverless Application: AWS Lambda, AWS Chalice, AWS SAM
  • Version Control: git
  • CI/CD: CircleCI

super-gradients's People

Contributors

avideci avatar bloodaxe avatar danbochman avatar daniel-deci avatar deanp70 avatar eltociear avatar eran-deci avatar fcakyon avatar jonathan-sha avatar laszlovandenhoek avatar lkdci avatar lotem-deci avatar louis-dupont avatar najeeb5 avatar natanbagrov avatar oferbaratz avatar ofrimasad avatar ranrubin avatar roikoren755 avatar shairoz-deci avatar shani-perl avatar shanibenbaruch avatar shaydeci avatar soumik12345 avatar spsancti avatar strelok899 avatar t0t4r4 avatar tomerkeren42 avatar yurkovak avatar

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