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Rohit8y/README.md

Hi πŸ‘‹, I'm Rohit Yadav


πŸ‘¨β€πŸ’» About Me

Machine Learning Engineer specializing in Deep Learning and Computer Vision applications.

  • πŸš€ Conducting research on Computer Vision and Generative Models.
  • πŸŽ“ MSc in Computing Science @ University of Groningen focusing on Intelligent Systems & Visual Computing.
  • πŸ“« Reach me at: edu.rohit.y@gmail.com

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  1. Semantic-Segmentation-Forestry Semantic-Segmentation-Forestry Public

    Fine-tune and evaluate deep learning models built with PyTorch for semantic segmentation of trees from satellite imagery of forestry areas.

    Python 5

  2. Financial-Time-Series Financial-Time-Series Public

    Developing a PyTorch-based solution for predicting future values in financial time series data, leveraging RNNs and GRUs as part of the M3 competition for time series forecasting.

    Python 3

  3. MICO MICO Public

    Microsoft's Membership Inference Competition (MICO) for CIFAR10 using shadow models.

    Jupyter Notebook 1

  4. MocoFSD MocoFSD Public

    PyTorch implementation of Momentum contrast in Frequency & Spatial Domain (MocoFSD) for fine-grained image classification.

    Python 1

  5. CG-CatmullClarkSubdivision CG-CatmullClarkSubdivision Public

    Implementation of catmull-clark subdivision

    C++ 2 1

  6. Road-Safety-Vision-Language-Models Road-Safety-Vision-Language-Models Public

    Fine-tuning of Vision Language Models (VLMs) for road safety inspection. Available models: LLaVA and QWEN3

    Python 1