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Eviaiy/README.md

Hello, I'm Meriem! πŸ‘‹

Welcome to my GitHub profile!

πŸ™‹β€β™‚οΈ About Me

  • πŸ”­ I’m currently working on machine learning models that can generate insightful predictions and analyses.
  • 🌱 I’m currently diving deeper into Generative AI and its applications in various industries.
  • πŸ‘― I’m looking to collaborate on projects that are at the intersection of data science and artificial intelligence, especially those that push the boundaries of what's possible with Generative AI.
  • πŸ€” I’m looking for help with advanced neural network architectures and optimization techniques.
  • πŸ’¬ Ask me about anything related to data science, machine learning, or Generative AI.

πŸ›  Skills

  • Languages: Python, C, R, SQL
  • Machine Learning/Deep Learning Frameworks: TensorFlow, PyTorch, Scikit-Learn
  • Data Visualization: Matplotlib, Seaborn, Plotly
  • Data Manipulation: Pandas, NumPy, NLTK, spaCy, TextBlob
  • Generative AI Tools and Libraries: LangChain, Autogen, Hugging Face Transformers
  • Other Technologies: Docker, Git, Jupyter

πŸ“ˆ My GitHub Stats

Eviaiy's GitHub stats

πŸ“« Contact Me

Pinned

  1. Extract-Food-Facts Extract-Food-Facts Public

    This tool uses LLM and OCR to extract nutrition information from food images, converting it into structured JSON for easy analysis by data enthusiasts.

    HTML 3

  2. FFT-Parallelization FFT-Parallelization Public

    Implementation and comparison of Fast Fourier Transform algorithms with a comprehensive focus on parallelization. This project aims to explore and evaluate the performance of various FFT algorithms…

    C 4

  3. Forecasting-New-York-City-s-Future-Water-Demand Forecasting-New-York-City-s-Future-Water-Demand Public

    This repository hosts a data analysis and predictive modeling project aimed at forecasting the future water demand in New York City. Using historical annual water usage data from 1979 to 2019, the …

    Jupyter Notebook 3

  4. ganhacks ganhacks Public

    Forked from soumith/ganhacks

    starter from "How to Train a GAN?" at NIPS2016

    1