Code Repo for Earth Observation for Disaster Mapping: Benchmarks, Methods, Challenges and Future Perspectives
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Updated
May 15, 2026 - Python
Code Repo for Earth Observation for Disaster Mapping: Benchmarks, Methods, Challenges and Future Perspectives
Computer Vision model that predicts steering angles from F1 onboard camera footage.
DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).
AI Note Summarizer is a Streamlit web application that leverages state-of-the-art NLP models to summarize lecture notes and generate interactive quizzes from the summarized content. Perfect for students, educators, and lifelong learners.
This repository features a Quantum Long Short-Term Memory (QLSTM) model for time-series forecasting using quantum circuits. It provides a custom QLSTMCell and supports real-time loss tracking, making it ideal for research and experimentation. 🛠️🌌
Deplyoing machine learning Web App which utilises OpenAI API to generate image based on text description of the image.
Fishing relevance classifier for youtube videos based on text and metadata
NLP pipeline for text processing and feature extraction 🛠
Official repository of paper "Modified Quantum Long-Short Term Memory with Variational Quantum Circuits for PV Power Forecasting"
A self-correcting Hybrid RAG system combining Knowledge Graphs (Neo4j) and Vector Search (FAISS). Features an autonomous agent that routes queries, grades results, and retries for complex multi-hop reasoning. Built with LangChain, Ollama, and FastAPI.
Artificial Intelligence and Machine Learning - Team Project - Dice Wars
The code provided is an example of a basic machine learning project. Specifically, it is an implementation of the k-nearest neighbors algorithm to predict the type of iris flower based on user input of the sepal length, sepal width, petal length, and petal width.
# Flipkart Customer Service Chatbot ,A simple AI-powered chatbot that helps Flipkart users with common queries like **order tracking**, **returns**, **cancellations**, **discounts**, **payment issues**, and **delivery timings**. Built using **Python**, **NLTK**, and **Scikit-learn**, it understands user input, predicts intent, and responds
all kinds of text classification models and more with deep learning
Implementation of different ML algorithms using famous python libraries like pytorch, numpy, and scikit-learn
Prototype provides following functionalities: using CCTV footage, detect whether the distance between two people is more than 6ft or not, predict queue wait time outside the shop and crowd counting.
Development of a dedicated bioinformatics pipeline utilizing Machine Learning techniques for the phenotypic classification of sea bass populations, based on SNP data decoded into images via Chaos Game Representation (CGR).
Machine Learning Based Loan Approval Automation: Enhancing Efficiency, Accuracy, and Fairness in Credit Decision Making
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