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abhijitpal1247/README.md

Welcome to My GitHub profile!

👋 Hello there! I'm Abhijit Pal, an AI Engineer with a passion for pushing the boundaries of existing machine learning systems. With a strong foundation in mathematics and machine learning, I specialize in developing innovative algorithms and models that drive advancements in AI technology.

🤖 About Me

  • 🎓 I hold a Bachelor's degree in Electrical Engineering.
  • 💼 Currently, I am working at Samasra Soft Inc. with a team of skilled engineers specializing in addressing complex AI challenges.
  • 🌍 My vision is to harness the power of AI to make a positive impact on our world, while ensuring the mitigation of challenges like bias, discrimination and privacy concerns.

💡 What I Do

As an AI Engineer, my work focuses on several key areas:

  • Machine Learning: Designing and implementing machine learning models to analyze data, predict outcomes, and learn from new findings.
  • Deep Learning: Utilizing neural networks to tackle tasks related to image and natural language processing.
  • Computer Vision: The application of digital image processing methods to analyze and interpret visual data from the world, enabling the extraction of meaningful information from images and videos.
  • Natural language processing: Making use of algorithms that extract meaningful information from vast corpora of natural language.
  • Generative AI: The buzzword, my current focus is on implementing safeguards for these generative AI models to ensure that their generations do not lead to discrimination and privacy concerns

Please feel free to check out my projects in my repositories!

📫 Get in Touch

Let's connect and collaborate! You can reach me at:

I’m always open to discussing new projects, innovative ideas, or opportunities to collaborate. Whether you're a fellow engineer, a student, or someone with an interest in AI, feel free to reach out!

Thank you for visiting my GitHub profile. Don’t forget to star and follow if you find my projects interesting!


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  1. image-mix-with-controlnet image-mix-with-controlnet Public

    A sample project to test out the features of streamlit. Provides a way to mix content and style of two images with help controlnet and clip-interrogator

    Jupyter Notebook 7 4

  2. Projected-Gradient-Descent-with-CIFAR10 Projected-Gradient-Descent-with-CIFAR10 Public

    Implementation of PGD attack on a model trained on cifar10 dataset in TensorFlow. Also, FID between original images and generated images has been calculated.

    Jupyter Notebook 2 4

  3. DeepSAT-6-Satellite-Image-Classification DeepSAT-6-Satellite-Image-Classification Public

    Using the pre-trained ImageNet models and cyclical learning rates, we tried to classify the DeepSAT-6 dataset (https://csc.lsu.edu/~saikat/deepsat/) into 6 categories (barren land, trees, grassland…

    Jupyter Notebook 1 1

  4. Image2StyleGAN Image2StyleGAN Public

    Implementation of 'Image2StyleGAN'

    Python 1

  5. TripplannerBot TripplannerBot Public

    This a streamlit app with langchain. It makes use of Bing maps API, OpenStreetMaps API and FourSquare API.

    Python 7 1

  6. animatediff_exp animatediff_exp Public

    Experiments with Animate diff and LoRA

    Jupyter Notebook