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Deceptrax123/README.md

Hi there, I am Nitish, welcome!

  • My research interests include geometric deep learning, Riemannian Machine Learning and applications of graph ML.
  • Part time developer as well :)(I freelance)
  • 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

repocommit
profilecommits

Have a Great Day!

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  1. sahilmishra0012/Polarissahilmishra0012/PolarisPublic

    [ICML'26] Official Code of our work on Coupled Orbital Polar Embeddings for Hierarchical Concept Learning

    Python 1 2

  2. sahilmishra0012/TaxoBellsahilmishra0012/TaxoBellPublic

    Python 4 3

  3. LGINLGINPublic

    [GRADES NDA WORKSHOP, SIGMOD]Official code of our work on "Can we ease the injectivity bottleneck on Lorentzian Manifolds for GNNs?"

    Python 2

  4. JPEB-GSSLJPEB-GSSLPublic

    [Preprint]Official Code of our paper Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning

    Python

  5. Spurious-Correlation-Mitigation-in-YOLOv5Spurious-Correlation-Mitigation-in-YOLOv5Public

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

    2

  6. Self-Supervised-Learning-using-YOLOv5-BackboneSelf-Supervised-Learning-using-YOLOv5-BackbonePublic

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

    Python