There are 75 repositories under forecasting topic.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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: statistical modeling and econometrics in Python
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Postgres with GPUs for ML/AI apps.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
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
Lightning ⚡️ fast forecasting with statistical and econometric models.
Time series forecasting with PyTorch
Merlion: A Machine Learning Framework for Time Series Intelligence
NeuralProphet: A simple forecasting package
Scalable and user friendly neural :brain: forecasting algorithms.
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
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 🚀.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
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/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Stock Price Prediction using Machine Learning Techniques
Time series forecasting with machine learning models
Automated Time Series Forecasting
Django Ledger is a double entry accounting system and financial analysis engine built on the Django Web Framework.
Forecasting Functions for Time Series and Linear Models
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Unified Training of Universal Time Series Forecasting Transformers
Scalable machine 🤖 learning for time series forecasting.