autots 开源项目推荐（21 个）

winedarksea /AutoTS

Automated Time Series Forecasting

DataCanvasIO /HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

IvanildoBatista /Series-Temporais

Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.

gulabpatel /TimeSeries

Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots

KrishnanSG /pytsal

An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS

gulabpatel /AutoML

该项目在 GitHub 上没有填写描述

gulabpatel /StockPrice_Prediction

该项目在 GitHub 上没有填写描述

IvanildoBatista /AutoML

Repositório com projetos utilizando ferramentas e bibliotecas para automatização de etapas de projetos de data science.

Mohshaikh23 /Cryptocurrency-Price-Prediction-using-AutoTS

Predicting the future prices of cryptocurrency is based on the problem of Time series analysis

BelitK /E-CommerceVolume

Cybersecurity and big data course project about Turkey and America e-commerce market volume comparison and prediction.

teja0508 /Auto-ML-TS-WHO-VIZ

Auto-ML/Viz/TS/WHO

KonNik88 /ts-panel-forecasting-baselines

Panel time-series forecasting notebooks (daily sales across stores × items). Clean validation (holdout + rolling-origin backtest), strong statistical baselines (SARIMAX/TBATS/ARIMA), and automated models (AutoTS), with optional Prophet/Darts/NeuralProphet. Primary metric: SMAPE.

Megh-Bhatt /crypto_currency-price-predictor

The project employs an automated time series forecasting approach using the autots library. This involves leveraging several machine learning algorithms internally to make predictions about future values based on historical data.

bedead /Analysis-of-Statistical-AutoTS-Prompt-based-LLM-Models-for-weather-prediction

This project presents a comparative study of three distinct approaches to temperature forecasting: traditional statistical models, automated time series (AutoTS) frameworks, and prompt-based large language models (LLMs).

Keyboard-Samurai666 /PyCrypt_Predict

Basic Crypto price prediction model in Python

lucario09 /ts-panel-forecasting-baselines

📊 Explore panel time-series forecasting techniques for sales using popular Python libraries like ARIMA, Prophet, and AutoTS in Jupyter notebooks.

Kishore-97 /SalesForecast

Web Application that forecasts sales.

kunalk3 /Automated-Machine-Learning

All AutoML Libraries

osa-bot /pytsbe

Tool for benchmarking automated time series forecasting algorithms

antiwarp2000 /AIDM-7350

This is the group project of AIDM-7350 -- AI and Digital Media Workshop