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Welcome!

I am passionate about machine learning and deep learning, with a strong foundation in TensorFlow. My journey in this field has been both exciting and rewarding.Curently I am leanring about more advanced neural networks and want to explore the realms of generative AI.

  • šŸŒ± Iā€™m currently learning advanced neural networks

  • šŸ‘Æ Iā€™m looking to collaborate on ML/DL projects

  • šŸ“« How to reach me [email protected]

  • āš” Fun fact Hehe

Connect with me:

pushpakagrawal

Languages and Tools:

arduino git java opencv pandas python tensorflow

pushpakag

Pushpak 's Projects

bark icon bark

šŸ”Š Text-Prompted Generative Audio Model

bounceroi icon bounceroi

This is a fun openCV program which bounces colored box all over a grayscale frame and bouces when hits the frame edge.

brainmagick icon brainmagick

Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.

generative-ai-for-beginners icon generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI šŸ”— https://microsoft.github.io/generative-ai-for-beginners/

lectures icon lectures

repository with the lectures for MLSS Skoltech

lisa icon lisa

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

ros_multicam_publisher icon ros_multicam_publisher

This project has one publisher which captures two video feeds and publish it using multithreading concept. So two threads are simultaneously publishing the video feed. Now there are two subsriber to this publisher which subscribes to the camera respectively. Each subscriber can now be used to perform different functions.

sentiment_analysis_nltk_roberta icon sentiment_analysis_nltk_roberta

This GitHub repository contains a Python project for conducting sentiment analysis on Amazon product reviews. The project utilizes various natural language processing (NLP) techniques, machine learning models, and data visualization to gain insights into customer sentiments.

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