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Hello 👋, I'm Debaditya!


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I'm a Graduate Student 👨🏽‍💼 @USC in Los Angeles, USA. I am a huge admirer of Artificial Intelligence and have recently finished writing my third Research Paper in Natural Language Processing. I strongly advocate my fellow classmates to get into Open Source 📢. Besides academics, I'm the Lead Guitarist 🎸 of a Progressive Rock band and have done a couple of concerts here and there.

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  • 📖 I’m currently working as a Research Assistant at the USC Institute for Creative Technologies under the supervision of Dr. David Traum
  • 🤹🏽 Fields I enjoy the most include 📈 Probability and Statistics, 🎛 Natural Language Processing, 🖼 Computer Vision, 📊 Data Science
  • 📈 I’m fluent in C/C++, Python. I also dabble in Julia, JavaScript and R.
  • 💬 I am fast to respond and would love to grow my network.
  • 📫 How to reach me: [email protected];

Debaditya Pal's Projects

algorithms icon algorithms

A repository to contribute algorithms in different languages as a part of 'Quarantine of Open Source' event.

arxivo icon arxivo

An ultra secure P2P File sharing system

deeplearning_contest icon deeplearning_contest

Repository containing instructions for Deep Learning contest organized by AASF and DSC IIITM Gwalior

dnafrag icon dnafrag

Optimized storage for DNA fragmentation V-plots

genomelake icon genomelake

Simple and efficient access to genomic data for deep learning models.

h1n1-flu-prediction icon h1n1-flu-prediction

A machine learning model that can predict if a person has taken the H1N1 vaccine or the seasonal flu shot

hawkeye icon hawkeye

A violence detection system for CCTVs

hub icon hub

The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines. Leading Data 2.0 http://activeloop.ai

ivy icon ivy

The Unified Machine Learning Framework

julia icon julia

The Julia Programming Language

learn-hub icon learn-hub

An interactive Onboarding environment for new users of Hub

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

mnistrecognizer icon mnistrecognizer

A Deep Neural Network to recognize handwritten digits from the MNIST Dataset.

numpy icon numpy

The fundamental package for scientific computing with Python.

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