[go: up one dir, main page]

Skip to content
View Deceptrax123's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report Deceptrax123

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
Deceptrax123/README.md

Hi there, I am Nitish, welcome!

  • A deep learning enthusiast pursuing research in computer vision, NLP etc, Backend developer
  • Passionate in the fields of mathematics, statistics and quantum physics
  • Love watching movies,reading and connecting
  • Full time music addict, ranging from Kpop to Piano and Violin classics 🤝

Profile Summary

My Tech Stack

My Socials,Blog and Research

My Github Stats

repo commit
profile commits

Projects

Have a Great Day!

Pinned Loading

  1. Detecting-Side-Effects-of-Adverse-Drug-Reactions-through-Drug-Drug-Interactions-using-Graph-Neural-N Detecting-Side-Effects-of-Adverse-Drug-Reactions-through-Drug-Drug-Interactions-using-Graph-Neural-N Public

    Official code of our paper titled "Detecting Side Effects of Adverse Drug Reactions through Drug-Drug Interactions using Graph Neural Networks and Self-Supervised Learning"

    Python 2

  2. Molecule-Chemical-Property-Prediction-using-Graph-Isomorphism-and-Adversarial-Pretraining Molecule-Chemical-Property-Prediction-using-Graph-Isomorphism-and-Adversarial-Pretraining Public

    Predict the properties of molecules through adversarial pre-training and Graph Isomorphism

    Python

  3. Defending-GNNs-against-Adversarial-Attacks-using-Contrastive-Self-Supervised-Learning Defending-GNNs-against-Adversarial-Attacks-using-Contrastive-Self-Supervised-Learning Public

    A self-supervised approach to train Graph Neural Networks to defend itself against Adversarial Attacks through Contrastive Learning and Negative Sampling

    Python 1

  4. 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

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

    Autoencoder based approach for the mitigation of spurious correlations on YOLOv5 detections

  6. Differential-Equations-Using-Neural-Networks Differential-Equations-Using-Neural-Networks Public

    Solving ODEs with initial values and PDEs with Dirichlet and Mixed Boundary Conditions using neural networks

    Python 1