Search Results for "mac on windows"

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...

Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series...

Budse is a simple budgeting tool that implements bucket (or envelope) budgeting. Currently there is a Command Line Interface (CLI) with a Graphical User Interface in progress. The program includes extras such as transaction searching and reports.

eele es un editor de cuentas generales en formato XML para las entidades locales españolas obligadas a la rendición telemática de cuentas mediante la plataforma http://rendiciondecuentas.es.

Simple personal program to manage your spending. No accounting experience required.

PyOrganizer is a cross-platform (Python/GTK) personal organizer, with a GUI optimized for the Nokia Internet Tablets (n810, n800, and n700). The financial/budgeting features are now operational, and rudimentary mileage tracking has just been added.

SD-Buy is a framework made for building an application for buyers. On companies, the service purchase does not take into account the environmental aspect. Today, this point is important (and mandatory in France) but there is no tool for this.