#计算机科学#NeuralProphet: A simple forecasting package
#计算机科学#[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
#计算机科学#Programs for stock prediction and evaluation
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
#计算机科学#PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
#计算机科学#About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚
#自然语言处理#Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments
COVID-19 infectious forecasting using SEIR model and R0 estimation
#计算机科学#This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
#计算机科学#An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
🏘️ The Town Energy Balance (TEB) model software and platform
#计算机科学#Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.
#时序数据库#COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Code for paper "Sparse Variational Gaussian Process based Day-ahead Probabilistic Wind Power Forecasting", IEEE Transactions on Sustainable Energy
Forecast of the level of pollution in the next hour in Beijing based on historical information
Cash Flow Forecasting Challenge held in 2020 on the popular TopCoder hackathon platform. I created my ML forecasting model using Python SciPy libraries. The step-by-step guide from data exploration to...
#计算机科学#Novel algorithms to predict Remaining Useful Life (RUL) on NASA’s benchmark dataset, CMAPSS turbofan engine degradation simulation.
#计算机科学#This repository will work around solving the problem of food demand forecasting using machine learning.
#时序数据库#Analytics Vidhya Hackathon
Predictive Analytics