NeuralProphet: A simple forecasting package

python machine-learning timeseries deep-learning time-series neural-network prediction pytorch artificial-intelligence forecast forecasting trend prophet neural fbprophet seasonality autoregression forecasting-model forecasting-algorithm neuralprophet

• Updated Oct 27, 2026
• Python

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

deep-learning time-series pytorch forecasting linear-models aaai time-series-prediction time-series-forecasting forecasting-model aaai2023

• Updated Jan 27, 2024
• Python

Programs for stock prediction and evaluation

machine-learning signal-processing stock-market forecasting stock-price-prediction signal stock-trading forecasting-model

• Updated Jul 10, 2026
• Jupyter Notebook

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.

python flask neural-networks stock-price-prediction final-year-project yahoo-finance fbprophet series-forecasting stock-market-prediction predict-stock-prices forecasting-model

• Updated Jul 22, 2026
• Jupyter Notebook

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

machine-learning deep-learning time-series time-series-forecasting time-series-decomposition self-supervised-learning forecasting-model contrastive-learning

• Updated Jun 25, 2026
• Python

About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚

python deep-learning time-series pytorch frequency-analysis time-series-forecasting forecasting-model

• Updated Sep 9, 2023
• Jupyter Notebook

Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments

nlp sentiment-analysis facebook-graph-api facebook-comments k-means-clustering forecasting-model

• Updated Jun 28, 2019
• Jupyter Notebook

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

python machine-learning time-series forecasting forecasting-models fbprophet forecasting-model streamlit-dashboard steamlit

• Updated Jan 12, 2024
• Python

COVID-19 infectious forecasting using SEIR model and R0 estimation

forecasting-model seir wuhan-coronavirus novel-coronavirus ncov-2019 novel-coronavirus-2019 covid-19 sars-cov-2

• Updated Mar 26, 2021
• Jupyter Notebook

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

machine-learning machine-learning-algorithms trading-bot prediction adaptive-learning predictive-modeling predictive-analytics adaptive-filtering forex-trading forex-prediction supervised-machine-learning forecasting-model

• Updated Sep 9, 2018
• Python

🏘️ The Town Energy Balance (TEB) model software and platform

cmake urban-planning meteorology atmospheric-modelling energy-consumption energy-model teb environmental-modelling building-energy energy-balance-model energy-simulation urban-meteorology forecasting-model land-surface-model town-energy-balance urban-energy-budget

• Updated Nov 1, 2022
• Fortran

Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.

python machine-learning deep-learning time-series pytorch transformer forecasting-model pytorch-lightning

• Updated Jul 9, 2020
• Python

Code for paper "Sparse Variational Gaussian Process based Day-ahead Probabilistic Wind Power Forecasting", IEEE Transactions on Sustainable Energy

machine-learning-models forecasting-model wind-power-forecasting gassian-process

• Updated Dec 6, 2023
• Jupyter Notebook

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

time-series shiny clustering forecasting rstats epidemics cluster-analysis shinydashboard time-series-analysis time-series-clustering time-series-forecasting forecasting-model coronavirus coronavirus-tracking epidemic-data covid-19 covid-virus forecasting-covid-19

• Updated Oct 1, 2020
• R

Forecast of the level of pollution in the next hour in Beijing based on historical information

pytorch lstm forecasting rnn multivariate rnn-pytorch forecasting-model lstm-pytorch

• Updated Nov 12, 2020
• Python

Novel algorithms to predict Remaining Useful Life (RUL) on NASA’s benchmark dataset, CMAPSS turbofan engine degradation simulation.

python deep-learning time-series pytorch forecasting-model

• Updated Nov 8, 2023
• Python

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.

jupyter-notebook python3 scipy cashflow forecasting-model

• Updated Feb 23, 2021
• Jupyter Notebook

This repository will work around solving the problem of food demand forecasting using machine learning.

machine-learning jupyter-notebook demand-forecasting xgboost-regression forecasting-model decisiontreeregressor lightgbm-regressor catboostregressor food-demand-forecasting

• Updated Sep 26, 2020
• Jupyter Notebook

Predictive Analytics

data-science linear-regression python-3-6 machinelearning feature-engineering predictive-modeling predictive-analytics time-series-analysis sarimax arima-model forecasting-model

• Updated Oct 14, 2019
• Jupyter Notebook

Analytics Vidhya Hackathon

time-series randomforest xgboost forecasting time-series-analysis forecasting-model extratreesregressor

• Updated Apr 8, 2020
• Jupyter Notebook