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๐Ÿ™„
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Leev1s/README.md


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๐ŸŽฏ Core Identity

  • ๐Ÿง  Approach: Problem-solving through elegant, maintainable code
  • ๐Ÿ’ก Passion: Merging quantitative analysis with modern computing
  • ๐Ÿš€ Goal: Build systems that scale and perform
  • ๐Ÿ“ Focus: Quantitative Finance ร— Deep Learning

๐Ÿง Research & Focus Areas

  • Primary: Quantitative Trading & Crypto Market Intelligence
  • Methods: Deep Learning, Time-Series Forecasting, Dimension Reduction
  • Tech Stack: SDR (MAVE, OPG, KSIR), GPU Computing, Parallel Processing

๐Ÿ› ๏ธ Tech Stack

Languages & Frameworks

  • ๐Ÿ Python | ๐Ÿ”ข MATLAB | ๐Ÿงฎ SQL | ๐Ÿ“ LaTeX
  • ๐ŸŽฎ CUDA | ๐Ÿ‹ Docker | ๐Ÿง Linux

ML & Data

  • Deep Learning | Time-Series Analysis | Statistical Modeling
  • Dimension Reduction Techniques | High-Performance Computing

Specializations

  • ๐Ÿ“Š Quantitative Finance & Algorithmic Trading
  • โšก Parallel Computing & Performance Optimization
  • ๐Ÿ”ฎ Cryptocurrency Market Prediction

ย ย ย ย ย ย ย ย 

Pinned Loading

  1. FAK-DNS FAK-DNS Public

    Forked from felixonmars/dnsmasq-china-list

    AdguardHome rules based on dnsmasq-china-list aimed to resolve the f**king China DNS hijacking.

    Ruby 201 111

  2. aktools-docker aktools-docker Public

    Forked from akfamily/aktools

    A auto builder of aktools docker image. Update every night.

    Python 1

  3. glassnode-python glassnode-python Public

    The easiest way to access Glassnode on-chain metrics in Python. Built for analysts and algorithmic traders.

    Python 1

  4. rankseg rankseg Public

    Forked from rankseg/rankseg

    Boost segmentation model mIoU/Dice instantly WITHOUT retraining. A plug-and-play, training-free optimization module. Published in NeurIPS & JMLR. Compatible with SAM, DeepLab, SegFormer, and more. ๐Ÿงฉ

    Jupyter Notebook 3