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  • šŸ‘‹ Hi, Iā€™m @angadbawa
  • šŸ‘€ Iā€™m interested in Generative AI, Computer Vision, Machine Learning, Data Science
  • šŸŒ± Iā€™m currently learning more about RAGs
  • šŸ’žļø Iā€™m looking to collaborate on Machine Learning and Data Science Projects
  • šŸ“« How to reach me Linkedin- https://www.linkedin.com/in/angadbawa/ Kaggle - https://www.kaggle.com/angadd

Angad's Projects

about-me icon about-me

šŸ‘‹ Hi, Iā€™m @angadbawa šŸ‘€ Iā€™m interested in Generative AI, Computer Vision, Machine Learning, Data Science šŸŒ± Iā€™m currently learning more about RAGs šŸ’žļø Iā€™m looking to collaborate on Machine Learning and Data Science Projects šŸ“« How to reach me Linkedin- https://www.linkedin.com/in/angadbawa/ Kaggle - https://www.kaggle.com/angadd

bitcoin-price-prediction icon bitcoin-price-prediction

This research aims to predict the price of Bitcoin accurately, focusing on the direction of its price movement.

data-science-notes icon data-science-notes

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dna-classification icon dna-classification

The aim of the experiment is to study the DNA in human and chimpanzees and classify the seven different types of proteins that are common in both humans and chimpanzees using the protein sequence data.

dronedetectron2 icon dronedetectron2

Pytorch code for our CVPRw 2023 paper "Cascaded Zoom-in Detector for High Resolution Aerial Images"

incremental_detectors icon incremental_detectors

Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"

lightning-flash icon lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

movie-semantic-search icon movie-semantic-search

The project aims to segment scenes in movies using a three-fold framework that combines shot segmentation, object detection, and object-based shot matching. It utilizes Convolutional Neural Networks (CNN) and set theory to accurately detect scene boundaries, providing a semantic-based navigation system for intuitive interaction with movies

open-llms icon open-llms

šŸ“‹ A list of open LLMs available for commercial use.

oracle icon oracle

The project combines the "Segment Anything Model" (SAM) for interactive pixel selection and the "Stable Diffusion" model for inpainting based on user prompts, enabling users to create realistic image edits with a single click.

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