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Deceptrax123/README.md

Hi there, I am Nitish, welcome!

  • My research interests include graph machine learning, self supervised learning, OOD generalization and robotics.
  • Part time developer as well :)
  • Passionate in Mathematics and Physics.
  • Love watching show,reading and networking. Massive K drama addict lol.
  • Full time music addict, ranging from Kpop to Violin 🤝

Profile Summary

Tech Stack

Socials,Blog and Research

Github Stats

repo commit
profile commits

Have a Great Day!

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  1. JPEB-GSSL JPEB-GSSL Public

    Official code of our paper "Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning"

    Python

  2. LGIN LGIN Public

    Official code of our paper "Lorentzian Graph Isomorphic Network"

    Python

  3. Detecting-Side-Effects-of-ADRs-using-GNNs-and-SSL Detecting-Side-Effects-of-ADRs-using-GNNs-and-SSL Public

    Official code of our paper "Detecting Side Effects caused by Adverse Drug Reactions(ADRs) using GNNs and Self Supervised Learning""

    Python 2

  4. Spurious-Correlation-Mitigation-in-YOLOv5 Spurious-Correlation-Mitigation-in-YOLOv5 Public

    Official code of our paper "Autoencoder based approach for the mitigation of spurious correlations on YOLOv5"

    2

  5. Developing-Molecular-Embeddings-through-Contrastive-Learning Developing-Molecular-Embeddings-through-Contrastive-Learning Public

    A self-supervised approach to develop latent space embeddings for molecules and provide an analysis on graph adversarial attacks

    Python 1

  6. Self-Supervised-Learning-using-YOLOv5-Backbone Self-Supervised-Learning-using-YOLOv5-Backbone Public

    Localize and segment multiple objects by pre-training the backbone of YOLOv5 using an autoencoder

    Python