forecasting
There are 2144 repositories under forecasting topic.
mindsdb/mindsdb
The platform for customizing AI from enterprise data
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
NirantK/awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
sktime/sktime
A unified framework for machine learning with time series
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
postgresml/postgresml
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
awslabs/gluonts
Probabilistic time series modeling in Python
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
amazon-science/chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
bashtage/arch
ARCH models in Python
scorpionhiccup/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
robjhyndman/forecast
Forecasting Functions for Time Series and Linear Models
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
winedarksea/AutoTS
Automated Time Series Forecasting
time-series-foundation-models/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
JoaquinAmatRodrigo/skforecast
Time series forecasting with scikit-learn models
functime-org/functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
arrobalytics/django-ledger
Django Ledger is a double entry accounting system built on the Django Web Framework.
tinkoff-ai/etna
ETNA – Time-Series Library
aeon-toolkit/aeon
A toolkit for machine learning from time series
nilmtk/nilmtk
Non-Intrusive Load Monitoring Toolkit (nilmtk)