Search Results for "financial modelling"

NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in...

Minsky brings system dynamics and monetary modelling to economics. Models are defined using flowcharts on a drawing canvas (as are Matlab's Simulink, Vensim, Stella, etc). Minsky's unique feature is the "Godley Table", which uses double entry bookkeeping to generate stock-flow consistent models of financial flows. Minsky is good for demonstrating mathematics too, with the most "math-like" interface in system dynamics.

Miletus is a financial contract modelling language written in Julia, based on papers by Peyton Jones and Eber [PJ&E2000],[PJ&E2003] (more closely modelled on the second one).

LuaXLL is a lightweight Lua interpreter built into a Excel XLL. The XLL has extensions built into it which allow new Excel functions to be defined in a Lua script and exposed to the main application with the XLL marshalling data across the environments. Its primary use is for rapid modelling and development. And it could also serve as an interface to more advanced models built in C. It has built-in support for ODBC databases (via LuaSQL) and some generic modeling functions (added as I need...

...KeplerDB is dedicated to be scalable and to create clusters of server allowing the user to analyse and store massing amount of data to monitor systems like computers, clusters, building and captors or financial systems like markets and accounts. The user can use KeplerDB to make data analysis on enormous amount of data (statistics and modelling).

*** MOVED TO GITHUB : https://github.com/amaggiulli/qlnet *** QLNet is a financial library written in c# for the Windows enviroment derived primarily from its C++ counterpart, Quantlib, which has been used as a base reference for modelling of various financial instruments.

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.

Project contains engine to construct Fuzzy Reasoning System. Package might be used when Fuzzy Reasoning is appropriate e.g. in trading, control, modelling, human behavior simulation.

Modelling tool for Actuarial work.

QUANTBOOST, a Complete Library, Modelling of Derivatives in C++. Based on Wiley C++ Derivatives, as well as BOOST C++ Multithreading techniques and will support a quant fund approach type of forecasting and portfolio management. I will have direct access

Structuring & Modelling of Collaterized Debt Obligations (CDOs)

Italian web based financial monitoring system. Balance sheets, indices, reclassifications, sensor of attention, trend diagrams. 6 years online. More than 2500 voices of accounts and algorithms. Modelling system to make your own algorithms, sheets,indices

The Humano2 platform allows to create business applications ranging from CRM, Help Desk, ERP to Collaboration with a visual modelling environment. The platform is build using a meta-data-architecture and its design supports multiple DBs

Java Graphical Process Designer designs workflow/business process modelling (bpm) diagrams and exports (and imports) them, usually as XML, to workflow engines after model validation. It allows quick and easy integration of new workflow formats.