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parikshitkumar1/readme.md

👾 Parikshit Kumar

Machine Learning Engineer | Computer Vision | Data Science

M.S. in Computer Science (UC Riverside, Dec 2024). I build real-world AI and computer vision systems, blending research and production.

  • Deep Learning, Generative Models, CV
  • Python, PyTorch, TensorFlow, Keras
  • GCP, AWS, MLOps, Docker

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⚡️ Building useful AI for real-world impact.

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  1. Image-to-Image-Translation-for-Anime-Characters Image-to-Image-Translation-for-Anime-Characters Public

    Using Pix2Pix GAN for translating Anime images to something more aesthetic

    Python 7 1

  2. Image-Generation-using-Generative-Networks Image-Generation-using-Generative-Networks Public

    A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.

    Python 3

  3. Optimized-Firearm-Detection Optimized-Firearm-Detection Public

    An OpenCV application that uses YOLOv3 and YOLOv3-Tiny object detection and weights trained on a custom dataset to detect firearms in a given image, video and in real-time.

    Python 5 2

  4. Multiclass-Image-Classification-for-Pok-mon Multiclass-Image-Classification-for-Pok-mon Public

    starterdex, but better, an app that identifies Pokémon by using densenet201 and fastai over PyTorch, knows about all 151 generation one Pokémon + 15 mega evolutions and tells you all about them.

    Python 6

  5. Hand_Gesture_Recognition Hand_Gesture_Recognition Public

    Uses the computer webcam to interpret hand gestures for various tasks like sign language recognition and automation using CNNs.

    Jupyter Notebook 4

  6. Generative_Modeling Generative_Modeling Public

    Generative Modeling using GANs, DCGANs, WGAN, WGAN-GP, ProGAN, Conditional GANs and Controllable Generation.

    Jupyter Notebook 2