Search Results for "forecasting"
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Showing 31 open source projects for "forecasting"
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PyTorch Forecasting
Time series forecasting with PyTorch
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. -
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forecast
Forecasting Functions for Time Series and Linear Models
The forecast package is a comprehensive R package for time series analysis and forecasting. It provides functions for building, assessing, and using univariate forecasting models (e.g. ARIMA, exponential smoothing, etc.), tools for automatic model selection, diagnostics, plotting, forecasting future values, etc. It's widely used in statistics, economics, business forecasting, environmental science, etc. Exponential smoothing state space models (ETS) including seasonal components. ... -
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DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models
DSGE.jl is a Julia package developed by the Federal Reserve Bank of New York for estimating and analyzing dynamic stochastic general equilibrium (DSGE) models. It provides tools for Bayesian estimation, filtering, forecasting, and model comparison, supporting both academic research and policy applications. DSGE.jl includes pre-configured models used by central banks and offers extensibility for custom macroeconomic modeling. -
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Kronos
A Foundation Model for the Language of Financial Markets
...The system introduces a novel tokenization approach that converts continuous financial data into discrete tokens, enabling the model to process market behavior similarly to language. This allows Kronos to perform a variety of quantitative tasks such as forecasting, pattern recognition, and anomaly detection within financial datasets. It is optimized for the noisy and complex nature of market data, distinguishing it from general-purpose time-series models. The project includes multiple pre-trained model sizes and tools for fine-tuning, making it adaptable to different computational constraints and use cases. -
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OpenOps
The batteries-included, No-Code FinOps automation platform
...At its core, OpenOps provides a visual workflow builder that lets teams construct automated processes for cloud cost optimization, budgeting, tagging, allocation, forecasting, and anomaly management without writing code, making complex financial workflows approachable for both technical and financial users. The platform includes an integrated spreadsheet-like database called OpenOps Tables and built-in analytics for tracking metrics and visualizing cost trends, enabling teams to consolidate disparate cloud cost data into actionable dashboards. ... -
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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. -
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Django-CRM - Free Open Source Software
Enterprise CRM software + Tasks management, Email marketing and more!
Django CRM system is easy to use and can be run on a personal laptop for a private entrepreneur (for example) or on a cloud web server for a large enterprise. Written in Python, CRM is an open-source software package for managing customer interactions and sales. This free CRM software is a powerful tool designed to optimize workflows, and support data-driven decisions. Key features include role-based access control, intuitive navigation, powerful filtering, and search functionalities. The... -
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Data Envelopment Analysis using Stata
Develop a user written Data Envelopment Analysis package in Stata.
The goal of this project is to develop a Data Envelopment Analysis(DEA) program using Stata programming language. This is the replacement of "deastata" project that we maintained for the purpose of version management. We call the program package "DEAS" which stands for Data Envelopment Analysis using Stata. DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index... -
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Premium Markets
Premium Markets is an automated financial technical analysis system.
Premium Markets is an automated financial technical analysis system. With Premium Markets you can edit and create your own indicators as a composition of more than a hundred common technical analysis functions. It implements a graphical environment for monitoring financial technical analysis of the main stocks and shares markets and currencies. The standalone application includes a full integration of ta-lib C/C++ libraries. Be aware that the provided App available for download may... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Capacity Planning & Management Software
Free & Open Capacity Planning Software in a Complete Virtual Machine
Every Profession has some sort of Resource to manage, be it materials, money, physical or logical resources & with it some vital queries to be answered: At what Rate is my Resource getting consumed? How Long will current stock last? What will be near future requirement? In Just Two Simple steps of Defining Your Resource & Actively Tracking its Consumption, you will be in total control of your Resource, with this Software. After starting this VM, from any PC on your Local Network,... -
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A tool to support individuals and teams using high-maturity, metrics-intensive project management methodologies [such as PSP(SM) and TSP(SM)]. Supports personal and team earned value tracking and forecasting; simplifies metrics collection and analysis.
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Rabio
Rapid Business Information Organizer
Rapid Business Information Organizer is a software platform designed to organize projects and control their financial activities like budget, costs, earned value, forecast, projection etc. It was designed to take control of budget and costs using a flexible Cost Breakdown Structure (CBS) of cost centers, cost categories with the addition of tags. See more on https://www.rabio.eu -
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Padasip
Python Adaptive Signal Processing
Padasip (Python Adaptive Signal Processing) is a Python library tailored for adaptive filtering and online learning applications, particularly in signal processing and time series forecasting. It includes a variety of adaptive filter algorithms such as LMS, RLS, and their variants, offering real-time adaptation to changing environments. The library is lightweight, well-documented, and ideal for research, prototyping, or teaching purposes. Padasip supports both supervised and unsupervised filtering modes and is built to be modular and extensible, making it easy to integrate into larger machine learning pipelines or control systems. -
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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 forecasting framework. ... -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. ... -
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AlphaPy
Python AutoML for Trading Systems and Sports Betting
...Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked ensembles. Create models for analyzing the markets with MarketFlow. Develop trading systems and analyze portfolios using MarketFlow and Quantopian's pyfolio. -
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fooltrader
Quant framework for stock
...Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. You could write the Strategy using an event-driven or time walkway and view and analyze the performance in a uniform way. -
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Fixer
A foreign exchange rates and currency conversion API
...One of its key strengths is its simplicity, as it uses straightforward RESTful endpoints and JSON responses that can be easily integrated into web or mobile applications. Fixer also supports time-series and fluctuation data, enabling more advanced financial analysis and forecasting use cases. While a free tier is available with some limitations, more advanced features such as higher request limits and additional base currencies are offered through paid plans. -
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Scadenzario
A way to track your scheduled bills, recursive or not.
It helps you tracking your scheduled bills or salary or whatever, recursive or not. In a nutshell, it helps to remember and analyze the budget. -
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Personal Financier
Personal budgeting software with projections based on past trends.
Personal Financier is a tool to track expenses by category and then project the impact to the overall budget. Underspending in a given month increases the budget available to use in future months, and overspending reduces it. In this way, the budget adjusts over time to reflect actual spending. The easiest way to try it out is to use the demo account (password demo) that gets automatically setup on install. Enjoy! (See Wiki for more detailed information) -
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Cenobi
cost estimation and management accounting, using neural networks
Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. 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... -
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STI analysis and forecasting
Analysis of drug resistance and epidemiology of STI (STD) in Russia
The STIanafor is a tool for spatio-temporal data vizualization, analysis and forecast of incidence of sexually-transmitted diseases and drug resistance of pathogens in the Russian Federation. Currently supports gonorrhoea (N. gonorrhoeae) and syphilis (T. pallidum). A set of real data for testing is provided. -
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OpenForecast is a package of general purpose, forecasting models written in Java that can be applied to any data series. No knowledge of forecasting is required. Using this package, the most appropriate algorithm for your data will be selected.
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This software will be helpful in enhancing, retaining and acquiring new customer. Pragmatic CRM built within OpenERP is more robust than the existing CRM. Pragmatic CRM pragmatic customer relationship management
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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
