Skip to content
View gautamHCSCV's full-sized avatar
Block or Report

Block or report gautamHCSCV

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

  1. Chest-Image-classification Chest-Image-classification Public

    We design a lightweight CNN architecture for the chest x-ray classi-32 fication task by introducing ExLNet which uses a novel DCISE blocks to reduce the33 computational burden. We show the effectiv…

    Jupyter Notebook 1

  2. Modelling_Viscoelastic_Objects Modelling_Viscoelastic_Objects Public

    This paper proposes an alternative data-driven hap- tic modeling method of homogeneous deformable objects based on a CatBoost approach – a variant of gradient boosting machine learning approach. In…

    Jupyter Notebook 1 1

  3. Number_Plate_detection-using-YOLO-v7 Number_Plate_detection-using-YOLO-v7 Public

    YOLOv7 is the new state-of-the-art object detector in the YOLO family. According to the paper, it is the fastest and most accurate real-time object detector to date. According to the YOLOv7 paper, …

    Jupyter Notebook 1

  4. Transformers-Applications Transformers-Applications Public

    A transformer is a deep learning model. It is distinguished by its adoption of self-attention, differentially weighting the significance of each part of the input (which includes the recursive outp…

    Jupyter Notebook

  5. Bias-Mitigation-using-Knowledge-Distillation Bias-Mitigation-using-Knowledge-Distillation Public

    A teacher model with minimal bias or calibrate its outputs to reduce bias transfer during distillation. Focus on distilling information from teacher features that are less prone to bias, like seman…

    Jupyter Notebook

  6. Image-Anonymization-using-Adversarial-Attacks Image-Anonymization-using-Adversarial-Attacks Public

    The Fast Gradient Sign Method (FGSM) combines a white box approach with a misclassification goal. It tricks a neural network model into making wrong predictions. We use this technique to anonymize …

    Jupyter Notebook