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@fcakyon

fatih c. akyon

fcakyon
Ankara, Turkiye

Maintaining my open-source packages takes a huge amount of time.
More sponsors = More motivation πŸš€

🧐 about me

  • Passionate about Machine Learning/Deep Learning, Computer Vision
  • Ph.D. cand. in Informatics (multi-modal video understanding), BSc and Msc. in Engineering (deep learning/computer vision)
  • Loving research (πŸ“ˆ 200+ citations) and open source (πŸ“ˆ 2 million+ downloads)

πŸ”₯ some of my opensource works:

A lightweight vision library for performing large scale object detection/ instance segmentation:

Packaged version of ultralytics/yolov5 + many extra utilities:

Deep learning based content moderation from text, audio, video & image input modalities:

Easiest way of fine-tuning HuggingFace video classification models:

Easy-to-use, class-balanced, cross-entropy and focal loss implementation for Pytorch:

A simple Streamlit Component to compare images with a slider in Streamlit apps:

Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector:

Make your own dataset for object detection and transform the format to coco json format:

πŸ“œ some of my published/submitted papers:

2 sponsors have funded fcakyon’s work.

@fcakyon

It would mean the world to me if I had 10 sponsors πŸš€

@taskswithcode
@SWillSZ

Featured work

  1. fcakyon/content-moderation-deep-learning

    Deep learning based content moderation from text, audio, video & image input modalities.

  2. obss/sahi

    Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

    Python 4,069
  3. fcakyon/yolov5-pip

    Packaged version of ultralytics/yolov5 + many extra features

    Python 290
  4. fcakyon/small-object-detection-benchmark

    icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

    Python 160
  5. fcakyon/streamlit-image-comparison

    Image comparison slider component for Streamlit

    Python 224
  6. fcakyon/balanced-loss

    Easy to use class balanced cross entropy and focal loss implementation for Pytorch

    Python 89

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