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Deep learning PyTorch library for time series forecasting
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.
Snidget is a python program which tracks your financial information, in particular your expenses and income. The user adds each transaction on their accounts and snidget can provide reports about how much you're spending. Includes both CLI and GUI.
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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.
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.
A small program in python developed to simulate poker bankroll growth over time depending on money and risk management strategies used. No GUI, user must edit parameters in source file. Outputs to .csv format.
Tracking of hours, goods, project productivity. Easy to use interfaces, Daily reports of what's been done, and what needs doing. If additions need to be made very modular and easy to add new features for job specifics.