使用深度学习进行时间序列预测的论文、代码和实验列表
sales-forecasting 开源项目推荐(523 个)
sales-forecasting 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 523 个仓库Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more
Machine Learning for Retail Sales Forecasting — Features Engineering
Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
基于 AI 的销售预测平台,包含 5 个机器学习模型(XGBoost、ARIMA、Prophet、LSTM)、交互式仪表盘、异常检测、RFM 客户细分与库存管理
Time Series Decomposition techniques and random forest algorithm on sales data
A stateless, open-source CRM built on Google Sheets
使用LSTM预测商品销量,考虑销量激增点影响
📦 AI-Powered Inventory Management System with LSTM predictions, real-time analytics, and beautiful dashboard
This project involves using multi-layer LSTMs to predict the sales problem.
对巴西电商巨头 Olist 的客户、产品、订单和发货进行详细分析。
Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.
This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.
This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retailer. The goal is to build a model that accurately predicts the unit sales for thousands of items sold at different Favorita stores.
Consumer Buying pattern Analysis and Sales Forecasting using Artificial Intelligence.
Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
End-to-end sales forecasting and XAI pipeline for weather-sensitive retail demand using PostgreSQL, dbt, FastAPI, and Streamlit.
Exponential Smoothing, SARIMA, Facebook Prophet
Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.
DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/sales-forecasting。
- 该话题在 GitHub 上共有 523 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3450 Star,覆盖 4 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。