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Hi there 👋

I am a Computer Engineer with special interest in machine learning and AI. Currently working on developing AI systems for
use in sectors such as Healthcare and agriculture. I am skilled at:

  • Python programming language
  • PyTorch
  • TensorFlow
  • Numpy
  • Pandas
  • Matplotlib
  • Django framework,
  • C
  • Bash
  • JavaScript
  • Java

🔭 Projects

Here are some of the projects I have worked on:

  • Pytorch implementation of ELU-Net: An Efficient and Lightweight U-Net for Medical Image Segmentation.
  • Contributed to the open source project MedSAM the official repository for MedSAM: Segment Anything in Medical Images.

📫 Contact Me

You can reach me at [email protected]. LinkedIn

Fraol Gelana's Projects

conwaysgol icon conwaysgol

Conway's Game of Life implementation in raylib C

deeplearningexamples icon deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

deit-tf icon deit-tf

Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.

dermtools icon dermtools

AI-based localization and classification of skin disease with erythema

elu-net-pytorch icon elu-net-pytorch

Pytorch implementation of ELU-Net: An Efficient and Lightweight U-Net for Medical Image Segmentation

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

handgun-dataset icon handgun-dataset

Handgun Dataset for use in training machine learning algorithms for the detection of handgun from survaillance camera footage!!

imgaug icon imgaug

Image augmentation for machine learning experiments.

keras-yolo2 icon keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

laneatt icon laneatt

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

ld-lsi icon ld-lsi

Deep learning based lane/freespace detector embedded in ROS node (built for UC3M LSI)

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