time-series-regression 开源项目推荐（25 个）

sktime /sktime

一个用于时间序列机器学习的统一框架

AIStream-Peelout /flow-forecast

深度学习PyTorch库，用于时间序列预测、分类和异常检测（最初用于洪水预测）。

aeon-toolkit /aeon

时间序列机器学习和深度学习工具包

sktime /sktime-dl

DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

salesforce /DeepTime

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)

scikit-learn-contrib /fastcan

A fast canonical-correlation-based search algorithm for feature selection, system identification, data pruning, etc.

dependable-cps /adversarial-MTSR

该项目在 GitHub 上没有填写描述

MSD-IRIMAS /DeepRehabPile

A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning

TomatoFT /Vehicle-Trajectory-Prediction-in-Ho-Chi-Minh-city-streets

Predict the trajectory of the vehicles in HCM city streets with YOLOv7 + DeepSORT + CNN-LSTM/CNN-GRU.

inEXASCALE /llm-abba

Time series analysis with LLM-ABBA: A symbolic approach

time-series-machine-learning /tsml-py

A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!

ahmedshahriar /Time-Series-Projects

Collection of my Time series Analysis Projects

ilmarcopardo /NARX

NARX Pytorch implementation

oliveiract /Drugstore-Sales-Forecast

This repository contains files and scripts to build a sales forecasting Telegram Bot for a pharmacy chain. The purpose of this project is to quickly and easily provide a revenue estimate in order to assist the CEO in decision making. (Project Data Science in Production / DS Community)

JasonLi-Arrebol345561 /Battery-Cycle-Life-Prediction

Early cycle-life prediction of Li-ion batteries on the MIT–Stanford 124-cell fast-charging dataset. Transformer vs Ridge/RF/LSTM, 5-fold CV R²=0.83 (MAPE 14.5%), with Integrated Gradients / permutation / attention-rollout explainability.

OliverLiljeblad /MarketSent

MarketSent is an AI-driven platform that analyzes financial sentiment from news headlines, social media posts, and market data. It uses Natural Language Processing (NLP) and machine learning to detect investor mood, predict market volatility, and visualize sentiment over time.

be-favorite /Multiple_timeseries

Time Series Regression Models

mikhina /Asset-Pricing-Anomalies

This project analyses the effect of one-year momentum factor on stock returns by computing CAPM, the Fama-French 3-factor model, and a 4-factor model accounting for momentum. The persistence of the momentum effect through the cross-sectional Fama/MacBeth regression is tested to assess whether this factor can explain test asset returns.

paige-millz /bulb-forecast-ai

Predictive modeling system for seasonal bulb removal timing using Growing Degree Days (GDD) and Easter date regression.

martinnff /prais_winsten_estimator

Generalization of the Prais Winsten estimator for AR time series of arbitrary order