Search Results for "linear"
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Showing 10 open source projects for "linear"
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1
Prophet
Tool for producing high quality forecasts for time series data
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal setting. ... -
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SimpleXlsxWriter
C++ library for creating XLSX files for MS Excel 2007 and above.
This library represents XLSX files writer for Microsoft Excel 2007 and above. The main feature of this library is that it uses C++ standard file streams. On the one hand it results in almost unnoticeable memory and CPU resources consumption while processing (that may be very useful at saving a large data arrays), but on the other hand it makes unfeasible to edit data that were written. Hence, if using this library the structure of the future report should be known enough. The library... -
3
eBag
Company administration manager
eBag is software project focused on company (factory) administration via PHP+MySQL solutions, on the local network, using browsers as terminals to access the company database. The server solution provides platform independence and collaborative work. PHP offers flexibility and the ability to change (or upgrade) the source code to personal needs, and MySQL innoDB provides transactional safe, recoverable tables. Using language files provides easy and quick translation to any language, and MVC... -
4
Deep learning time series forecasting
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... -
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5
Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
6
oj! Algorithms
Mathematics, linear algebra and optimisation
oj! Algorithms - ojAlgo - is Open Source Java code that has to do with mathematics, linear algebra and optimisation; particularly (but certainly not exclusively) suitable for the financial domain. -
7
PortOpt
A portfolio-optimizer using Markowitz(1952) mean-variance model
PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. It returns the vector of assets' shares that composes the optimal portfolio. ... -
8
Bat2015
Bachelor of Science (Informatik)
The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. -
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Cenobi
cost estimation and management accounting, using neural networks
...Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to reflect the non-linear cost-behavior, that occurs in most business processes. - This makes your cost estimations more accurate and reliable. - Therefore Cenobi facilitates better informed management decisions. Although Cenobi is particularly suitable for management accounting purposes, it can also be used as a general machine learning tool. The neural networks at the heart of the program are fully object-oriented and therefore highly adaptable. ... -
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10
math toolkit
A C++ and Python library for finance, statistics and linear algebra.
A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... ...
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