Popular GitHub Repositories for Drought Indices

MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.

A beautiful, extendable PHP Package to communicate with your pinecone.io indices, collections and vectors.

A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow.

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

An open-source MCP server for integrating Wazuh security data with LLMs (such as the Claude Desktop App). This service authenticates with the Wazuh RESTful API, retrieves alerts from Elasticsearch indices, transforms events into an MCP-compliant JSON format, and exposes an HTTP endpoint for Claude Desktop to fetch real-time security context.

In this project RNN variations are tested on a dataset comprised of not only Bitcoin historical price, but also other influencing factors such as macroeconomic indices, sentiments etc.

??️ Data processing scripts, ML models, and Explainable AI results created as part of my Masters Thesis @ Johns Hopkins

Internal Validity Indexes for Fuzzy and Possibilistic Clustering

SYNTHRON CFD Trader PRO is a cutting-edge trading platform featuring raw, custom-designed machine learning models. From reinforcement learning for dynamic strategies to predictive analytics, sentiment analysis, and optimization techniques, it empowers trading across stocks, forex, indices, commodities, futures, and crypto with precision.

Utilizing Machine Learning for portfolio selection with the aim of out-performing benchmark indices

? Generate and apply coherent biomedical lexical indices for NER and NEN

Goal : forecast of stock indices

Random Forest Algorithms to predict climate impact-drivers (CID), a.k.a., climate extreme indices for impact studies, in crop yields of soybean maize using Random Forest and XGBoost in a SHAP (SHapley Additive exPlanations) framework

Jupyter notebooks created for use in a training session on the topic of drought forecasting via satellite:artificial_satellite:. This repo contains the scripts needed to pre-process MODIS data and apply Gaussian Processes to time-series in order to forecast VCI :chart_with_upwards_trend:.

Application of the ARIMA model to forecast PET patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.