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umitkaanusta/README.md

👋 Hi, I'm Umit

GitHub User's stars Views

Interests: Machine learning (time-series and graphs), Explainable AI, Social networks, Venture capital

Currently: Learning Lisp & CUDA

⭐ My favorite projects

🕵️ reddit-detective: Detect political disinformation campaigns, discover how ideas spread between communities, find "cyborg-like" activities carried out by bots and more in Reddit Downloads

🏰 Jomini: What if Byzantines had more soldiers in 1453? You can model this and many other historical battles Downloads

🐤 TIA is an advanced Twitter stalking/analysis tool powered by machine learning.

💰 Trying a New Fraud Detection Approach for Trust Networks While trying to detect fraud rings in the bitcoin-otc network, I came up with an individual fraud detection approach which is better than 9 of 10 well-known network-based fraud detection algorithms for this problem. (At least for this data set, I'll try it in different datasets and tune the models when I have time for that)

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  1. fastapi/fastapi fastapi/fastapi Public

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

    Python 77.2k 6.6k

  2. reddit-detective reddit-detective Public

    Play detective on Reddit: Discover political disinformation campaigns, secret influencers and more

    Python 211 15

  3. TIA TIA Public

    Your Advanced Twitter stalking tool

    Jupyter Notebook 149 22

  4. Jomini Jomini Public

    Historical battle simulation package for Python

    Python 45 4

  5. mint-youtube mint-youtube Public

    Comment analytics tool for YouTube videos

    Python 11 1

  6. FraudRingDetection-TrustNetworks-Trying-New-Approach FraudRingDetection-TrustNetworks-Trying-New-Approach Public

    Detecting fraud rings in a p2p trust network with high AUC score (better than 9 of 10 well-known algorithms)* using basic and intuitive trust metrics

    Jupyter Notebook 4 2