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suryansh-sinha/README.md

Suryansh Sinha

Hi there 👋

I am a Computer Vision Researcher. I'm in my 4th year, pursuing Electronics and Communications Engineering with a specialization in Data Science from SRM Institute of Science and Technology, Kattankulathur

  • 🔭 I’m currently working on implementing multi-modal models like CLIP, Segment Anything Model and research around it.
  • 🌱 I’m open to collaborating on Computer Vision based projects.

Reach Me At

Email ✉️: [email protected]

Tech I Have Worked With -

Python PyTorch NumPy Pandas scikit-learn Tensorflow

Stats

GitHub Streak

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  1. CLIP-ImageSearch CLIP-ImageSearch Public

    Using OpenAI's CLIP for Zero-Shot Image Search on the ImageNetFE dataset. Implemented using the huggingface framework.

    Jupyter Notebook

  2. ViT-From-Scratch ViT-From-Scratch Public

    Implemented a Vision Transformer from famous paper 'An Image is Worth 16x16 Images'. Implemented the Attention and Multi-Head Attention mechanisms from scratch in PyTorch.

    Python

  3. AnimeFaceGenerator AnimeFaceGenerator Public

    Using DCGANs to generate anime faces.

    Jupyter Notebook

  4. GAN-Implementations GAN-Implementations Public

    This is a repository containing implementations of various Generative Adversarial Network research papers.

    Python

  5. AutoEncoders AutoEncoders Public

    PyTorch implementations of an Undercomplete Autoencoder and a Denoising Autoencoder that learns a lower dimensional latent space representation of images from the MNIST dataset.

    Jupyter Notebook

  6. Learning-PyTorch Learning-PyTorch Public

    Learning how the PyTorch framework functions. Code with notes.

    Jupyter Notebook 1