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πŸ’­
Currently Working On Generative AI
πŸ’­
Currently Working On Generative AI
  • Mumbai,India
  • 11:31 (UTC -12:00)
  • Instagram kaustubh_py

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149189/README.md

πŸ’« About Me

  • πŸš€ TensorFlow Developer with 1 Year of Experience: Focused on developing cutting-edge machine learning solutions.
  • βš™οΈ Expertise in Model Optimization: Skilled at fine-tuning model performance for superior results.
  • 🧠 Advanced Architectures: Experience in implementing and experimenting with complex neural network architectures.
  • πŸ”„ Specialization in Transfer Learning: Proficient in leveraging pre-trained models to overcome challenges with limited data.
  • 🧩 Adaptable Problem Solver: Thrive in solving complex, real-world problems using innovative AI techniques.
  • πŸ’‘ Passionate About AI: Continuously staying updated with the latest trends and advancements in the field of artificial intelligence.

🌐 Socials:

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πŸ” Top Contributed Repo

πŸ’» Tech Stack:

Python TensorFlow

πŸ† GitHub Trophies


πŸ’° You can help me by Donating

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  1. hamilton hamilton Public

    Forked from DAGWorks-Inc/hamilton

    Your single tool to express data, ML, and LLM pipelines with simple python functions. Runs anywhere that python runs, E.G. spark, airflow, jupyter, fastapi, etc. Incrementally adoptable. Use Hamilt…

    Python 1

  2. Food_Vision_101_Food_Classes Food_Vision_101_Food_Classes Public

    Jupyter Notebook

  3. Experiments_on_Food101_dataset Experiments_on_Food101_dataset Public

    Conducted Experiments using 5 models on Food 101 Dataset

    Jupyter Notebook

  4. Transfer_Learning_on_10_Food_Classes Transfer_Learning_on_10_Food_Classes Public

    Applied Transfer Learning on 10 Food Classes

    Jupyter Notebook 1

  5. Sentiment-Analysis-on-IMDb-Reviews Sentiment-Analysis-on-IMDb-Reviews Public

    Classify movie reviews as positive or negative.

    Jupyter Notebook

  6. Image-Classification-with-CIFAR-10- Image-Classification-with-CIFAR-10- Public

    Classify images into 10 different categories (e.g., airplanes, cats, dogs). The Technique used is Convolutional Neural Networks (CNNs). Tools: TensorFlow/Keras

    Jupyter Notebook 1