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MasterHead

Neeresh Kumar Perla

Coding

neeresh

  • PhD student at University of Massachusetts Dartmouth.
  • ๐Ÿ’ฌ Expertise in Large Language Models (LLMs), Computer Vision, Adversarial Machine Learning, and Continual Learning.
  • ๐Ÿ“ฌ How to reach me: [email protected].
  • ๐Ÿ“ญOpen to collaborations, research, and projects.
  • I love watching TV Series ๐Ÿ“บ, Animes ๐Ÿ“บ and playing games ๐ŸŽฎ (Witcher 3: The Wild Hunt and FIFA 22 are ๐Ÿ’˜).
  • โ™ฅ๏ธ : ๐Ÿธ, ๐Ÿ•, ๐Ÿ”, ๐ŸŸ, ๐Ÿ—, ๐Ÿฃ, ๐Ÿœ, ๐Ÿฉ, ๐Ÿช, ๐Ÿซ, ๐Ÿฆ.

Languages and Tools:

azure c css3 git html5 java mssql mysql opencv pandas postgresql postman python scikit_learn seaborn selenium tensorflow

Connect with me:

neereshperla https://www.linkedin.com/in/neeresh-kumar-perla-2a343516a https://www.kaggle.com/neereshkumar _legend_says_nothing_ https://www.hackerrank.com/neereshkumar_nk

Neeresh Kumar Perla neereshperla

neeresh

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neeresh

neeresh

Neeresh Kumar Perla's Projects

cifar100 icon cifar100

Models with variable output classes designed for CIFAR-100

gravwave-applem2-analysis icon gravwave-applem2-analysis

The Apple Silicon Gravitational-Wave Cluster project utilizes the power of Apple Silicon M2 processors to construct a high-performance cluster tailored for gravitational-wave astronomy.

pycbc icon pycbc

Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.

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