https://github.com/egoradonev/egoradonev

ADS-B signal neural network based decoder
https://github.com/egoradonev/egoradonev

ads-b deep-learning google-colab google-colab-notebook ipython-notebook machine-learning neural-network neural-networks python tensorflow

Last synced: 6 months ago
JSON representation

ADS-B signal neural network based decoder

• Host: GitHub
• URL: https://github.com/egoradonev/egoradonev
• Owner: EgorAdonev
• Created: 2021-09-03T21:22:03.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2025-03-13T11:35:26.000Z (over 1 year ago)
• Last Synced: 2025-03-13T12:32:38.311Z (over 1 year ago)
• Topics: ads-b, deep-learning, google-colab, google-colab-notebook, ipython-notebook, machine-learning, neural-network, neural-networks, python, tensorflow
• Language: Jupyter Notebook
• Homepage: https://github.com/EgorAdonev
• Size: 10.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
- 👋 Hi, I’m @EgorAdonev

- 👀 I’m mostly interested in Java, Automated/Unit testing, Neural Networks. And I want to share my projects with you.

So that's my NN model that has been developed using Python and Tensorflow. Model consists of 2 NNs are for decoding ADS-B signals (made in Google Colab cloud environment using .ipynb and Python).

The 1st network is the network that used is for classification of ADS-B packet (1 - short packet, 2 - extended packet, 0 - noise).

Second one is for bit decoding, on the output we have actual bits.

- 🌱 Computer Science MSc.

- 💞️ I’m looking to collaborate on machine learning, deep learning, neural networks.

- 📫 How to reach me - egora211219@gmail.com

# 💻 Tech Stack:

![Java](https://img.shields.io/badge/java-%23ED8B00.svg?style=flat&logo=openjdk&logoColor=white) ![C](https://img.shields.io/badge/c-%2300599C.svg?style=flat&logo=c&logoColor=white) ![Shell Script](https://img.shields.io/badge/shell_script-%23121011.svg?style=flat&logo=gnu-bash&logoColor=white) ![Python](https://img.shields.io/badge/python-3670A0?style=flat&logo=python&logoColor=ffdd54) ![Heroku](https://img.shields.io/badge/heroku-%23430098.svg?style=flat&logo=heroku&logoColor=white) ![Apache Hadoop](https://img.shields.io/badge/Apache%20Hadoop-66CCFF?style=flat&logo=apachehadoop&logoColor=black) ![Apache Kafka](https://img.shields.io/badge/Apache%20Kafka-000?style=flat&logo=apachekafka) ![Spring](https://img.shields.io/badge/spring-%236DB33F.svg?style=flat&logo=spring&logoColor=white) ![Thymeleaf](https://img.shields.io/badge/Thymeleaf-%23005C0F.svg?style=flat&logo=Thymeleaf&logoColor=white) ![Apache Maven](https://img.shields.io/badge/Apache%20Maven-C71A36?style=flat&logo=Apache%20Maven&logoColor=white) ![Apache](https://img.shields.io/badge/apache-%23D42029.svg?style=flat&logo=apache&logoColor=white) ![Postgres](https://img.shields.io/badge/postgres-%23316192.svg?style=flat&logo=postgresql&logoColor=white) ![Keras](https://img.shields.io/badge/Keras-%23D00000.svg?style=flat&logo=Keras&logoColor=white) ![Matplotlib](https://img.shields.io/badge/Matplotlib-%23ffffff.svg?style=flat&logo=Matplotlib&logoColor=black) ![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=flat&logo=pandas&logoColor=white) ![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=flat&logo=TensorFlow&logoColor=white) ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=flat&logo=docker&logoColor=white) ![Postman](https://img.shields.io/badge/Postman-FF6C37?style=flat&logo=postman&logoColor=white) ![Notion](https://img.shields.io/badge/Notion-%23000000.svg?style=flat&logo=notion&logoColor=white) ![Jira](https://img.shields.io/badge/jira-%230A0FFF.svg?style=flat&logo=jira&logoColor=white)

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