Explore live open-source projects and AI models.

RR is a data-driven research project that integrates geospatial analysis, machine learning, and environmental monitoring to analyze historical trends, predict future scenarios, and deliver actionable insights for climate resilience, sustainability, and policy decision-making.

🤢 Air 🥶 Pollution 🤡 Analysis is 🤖 a data 👿 driven 👽 that 🙈 explores 😹 analyzes 🍔 and 🍅 visualizes 🍏 air 🍊quality data 🌰 to ✈ understand 🚁 pollution 🚀 trends 🛬 and their 🚟 impact on ⛱ the 🚞 environment 🚋 and 🛼 human 🚂 health 🏩 Using 🕌 data 🚒 science 🏭 machine 🚈 actionable 🏥 insights 🏦 policymakers... Read more

CryptoMarket Regime Classifier is a machine learning framework that detects market regimes (Trend, Range, Squeeze, etc.) in crypto markets using multi-timeframe data and Hidden Markov Models. The project provides plug-and-play labeled datasets and trained models (HMM + LSTM) for downstream strate... Read more

A machine learning-based project that predicts future events, trends, or milestones along a timeline using historical data, enabling accurate forecasting, strategic planning, and data-driven decision-making across business, research, and operational domains.

Quantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, includin... Read more

Asada, M.; Hosoda, K.; Kuniyoshi, Y.; Ishiguro, H.; Inui, T.; Yoshikawa, Y.; Ogino, M.; Yoshida, C. (2009). "Cognitive developmental robotics: a survey". IEEE Transactions on Autonomous Mental Development. 1 (1): 12–34. doi:10.1109/tamd.2009.2021702. S2CID 10168773. "ACM Computing Classification ... Read more

Built a Currencies-Price-Prediction model using machine learning to forecast currency exchange rates. Helps in analyzing market trends and decision-making.

This repository features data science projects focused on financial data analysis and forecasting. The projects apply machine learning algorithms to analyze stock market data, predict trends, and optimize investment strategies.

[IoT'20] Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing

This project is an AI-powered anomaly detection system that monitors social media trends, physical environmental conditions, and stock market behavior in real time. It correlates signals across multiple domains using machine learning and LLMs to detect abnormal patterns and explain why anomalies ... Read more