xiexie224xx

Depth-copula-network

Data-and-Empirical-Result-for-Paper

VineCopula

Statistical inference of vine copulas

HSMM_covariates

Code to estimate an Hidden semi-Markov model where the dwell-time distribution may depend on time-varying covariates

real-time-fxcm

#易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。实时量化交易，高频量化对冲交易自动化。https://gitee.com/englianhu

TACTiS

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

ieee-icpse2021-paper

Sales-Forecasting-for-Retail-Chains

Time series forecasting of retail items

retail_store_sales_forecasting

Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and current methods such as Prophet, Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN)

MMAML-TSR

Multi-modal meta-learning for time series regression

metats

MetaTS | Time Series Forecasting using Meta Learning

LSTM_encoder_decoder

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

retail-sales-forecasting-with-meta-learning

retail_metalearning

the source code of the paper : "Retail time series forecasting using an automated deep meta-learning framework"

Features-based-forecasting

An implementation of a feature based forecasting algorithm based on Hyndman "FFORMS" approach.

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

multimodule-ecg-classification

Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification

ML-DAM

Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems

FAR-HO

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Demand-Forecasting-of-Retail-Store-Items

RetailSales_Demand-Forecast

RetailSales_Demand Forecast

Retail-Forecasting-Optimal-Pricing

End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail chain (Machine Learning in sklearn, MIP optimization in Gurobi)

Retail-Demand-Forecasting-Model-using-Factorization-Machines

It is challenging to build useful forecasts for sparse demand products. If the forecast is lower than the actual demand, it can lead to poor assortment and replenishment decisions, and customers will not be able to get the products they want when they need them. If the forecast is higher than the actual demand, the unsold products will occupy inventory shelves, and if the products are perishable, they will have to be liquidated at low costs to prevent spoilage. The overall objective of the model is to use the retail data which provides us with historic sales across various countries and products for a firm. We use this information given, and make use of FM’ s to predict the sparse demand with missing transactions. The above step then enhances the overall demand forecast achieved with LSTM analysis. As part of the this project we answered the following questions: How well does matrix factorization perform at predicting intermittent demand How does matrix factorization approach improve the overall time-series forecasting

Walmart_Capstone_Project

Walmart has multiple outlets across the country. They are facing issues in managing the inventory - to match the demand with respect to supply.

change-point

Numerical analysis for the paper "Bayesian Inventory Management with Change-Points in Demand", by Adam J. Mersereau and Zhe (Frank) Wang.

Grupo-Bimbo-Inventory-Demand

BigData-InventoryDemandPrediction

Inventory-Optimization

A model for inventory optimization for uncertain demands

Warehouse-management-1

A software prototype web app for demand forecasting, inventory management and food tracking using machine learning and blockchain.