Search Results for "research"

PyTorch Forecasting aims to ease state-of-the-art time series forecasting with neural networks for both real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners. A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along with logging in tensorboard and generic visualizations such actual vs predictions and dependency plots. ...

MADS (Multipurpose Agricultural Data System) is a free open-source tool for modelling and analysis of agricultural activities - crops, livestock, forestry and others - in developing countries, at sector, regional or project level.

This tool enables software development effort estimation using 5 different methods. All industry standard methods are used. COCOMO II This is a model for effort estimation. The use of the model enables effort estimation from non-experts (e.g. not developers). Work Breakdown Estimation This is an effort estimation method based on expert judgment. Two options are available: Delphic Oracle and Three Point Estimation. Analogy / Comparison Estimation This method...

Mark Six Analyst is a database of Hong Kong Lottery or so-called Mark Six. It provides a tool of various statistics method to show relationships between data and forecasts.

MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.

Lokad provides business forecasting services. Get started with sales forecasting, inventory optimization, or staff planning! http://www.lokad.com - This project has been migrated to GitHub, check https://github.com/Lokad/lokad-sdk