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Implementation of Meta Learning based algorithms that includes experiment on toy and reasoning dataset. This includes Few-shot Learning, Representation Learning, Continual Learning, Neuro-Symbolic Reasoning.

License: MIT License

Jupyter Notebook 99.10% Python 0.90%

meta-ml's Introduction

Hi ๐Ÿ‘‹, I'm Subrat Kumar

Phd Candidate, PMRF Fellow, UQIDAR Fellow at The University of Queensland and IIT Delhi (Joint-PhD Program)

swainsubrat

  • ๐ŸŒฑ Iโ€™m currently learning Adversarial Machine Learning

  • ๐Ÿ’ฌ Ask me about Machine Learning and Deep Learning Security, Adversarial ML, GCP, ML Deployments

  • ๐Ÿ“ซ How to reach me [email protected]

  • โšก Fun fact I'm Unfunny :,/

figma flask gcp git kubernetes

swainsubrat

ย swainsubrat

su_swain https://www.linkedin.com/in/swain-subrat-kumar-45b4a3164/

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