rishabhpahuja
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🎓 2023 Master's graduate from Carnegie Mellon University with expertise in Computer Vision and Deep Learning.
🔍 Specialized in real-time object detection, tracking, object localization, and 3D reconstruction using point clouds during graduate studies.
💼 Currently leveraging time series experimental data in the automotive industry to develop deep learning models. Focus is on replacing physical air chamber testing with virtual testing methodologies.
This software pipeline can detect and track apples in real-time in an orchard, while effectively dealing with cases of apple occlusion. Apples are detected and segmented using a deep learning based…
With the increasing demand for credit facilitated by technologies such as the credit card, modern day credit evaluation systems cannot rely on judgmental approaches that subjectively evaluate every…
Forked from c4dm/dcase-few-shot-bioacoustic
Python
Forked from wolny/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
Jupyter Notebook
