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Hi there! 👋

I'm Gebeyaw Tigabu, a machine learning enthusiast with a passion for building intelligent systems. I specialize in computer vision, data science, and Python development.

⚡ Skills

Machine Learning

Deep Learning

Computer Vision

Data Science

Python

TensorFlow

Keras

PyTorch

Scikit-Learn

💻 Projects

Facial Expression Recognition: A deep learning model that predicts facial expressions in real-time using OpenCV and Keras.

Object Detection: A computer vision project that uses the YOLO algorithm to detect objects in images and video.

Sentiment Analysis: A natural language processing project that uses machine learning to analyze and classify text data.

📚 Interests

Machine Learning

Computer Vision

Data Science

Natural Language Processing

Robotics

📫 Get in touch

LinkedIn: https://www.linkedin.com/in/gebeyawtigabu/

🏆 Badges

Thanks for checking out my GitHub profile! Let's connect and build something amazing together! 😄

Gebeyaw Tigabu's Projects

musiclm-pytorch icon musiclm-pytorch

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

piml-toolbox icon piml-toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development and model validation

python icon python

All Algorithms implemented in Python

segment-and-track-anything icon segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

telangena-state-tourism-insights icon telangena-state-tourism-insights

This repository containing a project that analyzed open data related to the Telangana tourism industry. The project aimed to provide data-informed recommendations to the government for improving its administrative operations. It includes various files such as data tables, metadata, and insights derived from the analysis.

timesformer-pytorch icon timesformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

transformer-in-transformer icon transformer-in-transformer

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

transganformer icon transganformer

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

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