Pinned Repositories
About-me
👋 Hi, I’m @angadbawa 👀 I’m interested in Generative AI, Computer Vision, Machine Learning, Data Science 🌱 I’m currently learning more about RAGs 💞️ I’m looking to collaborate on Machine Learning and Data Science Projects 📫 How to reach me Linkedin- https://www.linkedin.com/in/angadbawa/ Kaggle - https://www.kaggle.com/angadd
Boolean-Question-Generator
Custom Question Generator using T5 text-to-text transformer model and BoolQ dataset
Boolean-Question-Model-for-Ai-planet
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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.
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
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.
Stock-Market-Price-Prediction
This project aims to analyze and predict stock prices of major technology companies using advanced time series models. The stock data includes prices from companies such as Google (GOOG), Apple (AAPL), Microsoft (MSFT), and Amazon (AMZN) over a specified period.
Twitter-Layoff-Analysis-2024
This project involves the comprehensive analysis of Twitter data related to layoffs using various data science and natural language processing (NLP) techniques. The main objectives include data scraping, preprocessing, sentiment analysis, topic modeling, named entity recognition, keyword extraction, and emotion analysis.
Video-Captioning
Video Captioning is a sequential learning model that employs an encoder-decoder architecture. It accepts a video as input and produces a descriptive caption that summarizes the content of the video.
angadbawa's Repositories
angadbawa/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
angadbawa/Boolean-Question-Generator
Custom Question Generator using T5 text-to-text transformer model and BoolQ dataset
angadbawa/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.
angadbawa/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.
angadbawa/Scientifico
💬NLP chatbot answering questions about science.
angadbawa/Stock-Market-Price-Prediction
This project aims to analyze and predict stock prices of major technology companies using advanced time series models. The stock data includes prices from companies such as Google (GOOG), Apple (AAPL), Microsoft (MSFT), and Amazon (AMZN) over a specified period.
angadbawa/Twitter-Layoff-Analysis-2024
This project involves the comprehensive analysis of Twitter data related to layoffs using various data science and natural language processing (NLP) techniques. The main objectives include data scraping, preprocessing, sentiment analysis, topic modeling, named entity recognition, keyword extraction, and emotion analysis.
angadbawa/Video-Captioning
Video Captioning is a sequential learning model that employs an encoder-decoder architecture. It accepts a video as input and produces a descriptive caption that summarizes the content of the video.
angadbawa/Who-is-Who-s-Friend-
Friend Recommendation in PySpark
angadbawa/About-me
👋 Hi, I’m @angadbawa 👀 I’m interested in Generative AI, Computer Vision, Machine Learning, Data Science 🌱 I’m currently learning more about RAGs 💞️ I’m looking to collaborate on Machine Learning and Data Science Projects 📫 How to reach me Linkedin- https://www.linkedin.com/in/angadbawa/ Kaggle - https://www.kaggle.com/angadd
angadbawa/Bitcoin-Price-Prediction
This research aims to predict the price of Bitcoin accurately, focusing on the direction of its price movement.
angadbawa/analytics
angadbawa/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
angadbawa/docker
Me fiddling with docker
angadbawa/DroneDetectron2
Pytorch code for our CVPRw 2023 paper "Cascaded Zoom-in Detector for High Resolution Aerial Images"
angadbawa/Intelligent-Projects-Using-Python
Intelligent Projects Using Python, published by Packt
angadbawa/jenkins-master
angadbawa/learnopencv
Learn OpenCV : C++ and Python Examples
angadbawa/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
angadbawa/mlops-with-aws-datascientists
angadbawa/new
angadbawa/open-llms
📋 A list of open LLMs available for commercial use.
angadbawa/project
angadbawa/Prompt-Engineering
angadbawa/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
angadbawa/Sentence-Prediction-Model
angadbawa/techniques
Techniques for deep learning with satellite & aerial imagery
angadbawa/vision
This repository containcs my CV projects
angadbawa/web
angadbawa/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite