forecasting
There are 2171 repositories under forecasting topic.
Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
mlforecast
Scalable machine 🤖 learning for time series forecasting.
Failed-ML
Compilation of high-profile real-world examples of failed machine learning projects
web-traffic-forecasting
Kaggle | Web Traffic Forecasting 📈
SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
timetk
Time series analysis in the `tidyverse`
time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
ETDataset
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
uni2ts
Unified Training of Universal Time Series Forecasting Transformers
fable
Tidy time series forecasting
hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
atspy
AtsPy: Automated Time Series Models in Python (by @firmai)
modeltime
Modeltime unlocks time series forecast models and machine learning in one framework
pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
TCDF
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.
awesome-risk-quantification
A collection of awesome projects, blog posts, books, and talks on quantifying risk
TSstudio
Tools for time series analysis and forecasting
prophet-ruby
Time series forecasting for Ruby
UniTS
A unified multi-task time series model.
DeepTime
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Stocks
Programs for stock prediction and evaluation
tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
da-rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
scalecast
The practitioner's forecasting library
ESRNN-GPU
PyTorch GPU implementation of the ES-RNN model for time series forecasting
Introduction-to-Time-Series-forecasting-Python
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
supplychainpy
Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.
streamlit_prophet
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
StateSpaceModels.jl
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
pyFTS
An open source library for Fuzzy Time Series in Python