There are 6 repositories under forecasting-model topic.
NeuralProphet: A simple forecasting package
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
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.
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
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
About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.
COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Forecast of the level of pollution in the next hour in Beijing based on historical information
Code for paper "Sparse Variational Gaussian Process based Day-ahead Probabilistic Wind Power Forecasting", IEEE Transactions on Sustainable Energy
This repository will work around solving the problem of food demand forecasting using machine learning.
Analytics Vidhya Hackathon
Predictive Analytics
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 analysis has been shown in the notebook.
Solar Irradiance Forecasting Using Deep Learning Techniques
MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - Fourth Project
Using the Prophet package published by Facebook to do time series forecasting. This is a beginner's level walk-through
The aim of this code is to show the preliminary results of the forecast for the term structure (with different maturities) of the Mexican government bonds using different types of models.
Python scripts from CryosphereComputing
:chart_with_upwards_trend: :clock130: Predictive Model for Optimal Retirement Investment Strategy Based on Macro/Meso Market Properties and Personal Preferences/Information (401k & IRA)
This repository contains the time series forecasting and analysis of stock market prices of different companies.
Predicting disease spread, a DrivenData competition. I'am currently participating in this competition. I used it as submission for the second capstone project in the course 'Professional Certificate in Data Science' provided by Harvard University (HarvardX) on EDX.
Forecasting sales and economic demand for businesses with a time series approach using NeuralProphet
Artificial Neural Network and Deep Learning course competition 2021/2022 - Politecnico di Milano.
Prediction of material microstructure evolution via convolutional LSTM neural networks. Implementation in pytorch.
Built 6 time series models to forecast Bitcoin prices using data from the past 5 years
Forecast of next month's number of car sales based on historical information
Este repositorio contiene todos los notebooks de la experimentación del Trabajo Fin de Máster "Aprendizaje por transferencia en el pronóstico personalizado de glucosa para diabetes tipo 1"