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1. object-detection object-detection Public

   Implementations of state-of-the-art object detection models (Faster R-CNN, Mask R-CNN, SSD, RetinaNet, YOLOv3) on subsets of public datasets like COCO, Pascal VOC, OpenImages, and ImageNet.

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2. time-series-alignment-with-DTW time-series-alignment-with-DTW Public

   Python notebooks exploring time series alignment with Dynamic Time Warping (DTW), including preprocessing, scaling, and customizable distance metrics.

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3. weather-time-series-forecasting weather-time-series-forecasting Public

   Time series forecasting on weather data using AR, RNN, Attention, and Transformer models across multiple resolutions and prediction horizons.

   Jupyter Notebook 1

4. sea-sar-detectors sea-sar-detectors Public

   Implementation and evaluation of object detectors (YOLOv1, Faster R-CNN, RetinaNet, YOLOv8, DETR) on the SeaDronesSee dataset, a collection of drone-captured images designed for small-object mariti…

   Python 1

5. coursera-specializations coursera-specializations Public

   My completed programming assignments from Coursera specializations, starting with Andrew Ng’s Machine Learning and Deep Learning courses, and later expanding into NLP, TensorFlow, and data science.

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6. deep-learning-with-python deep-learning-with-python Public

   My implementations and notes from François Chollet’s book Deep Learning with Python (1st Edition), organized in 4 parts.

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