time-series-regression

A unified framework for machine learning with time series

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A toolkit for time series machine learning

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

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

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

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

A toolkit for time series machine learning algorithms.

Time series analysis with LLM-ABBA: A symbolic approach

Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark

Collection of my Time series Analysis Projects

NARX Pytorch implementation

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)

Time Series Regression Models

The dataset is compiled from the National Accounts Main Aggregates Database that presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world.

The Unified Framework offers a logical structure that connects concepts from black hole genesis to artificial intelligence safety. Explore foundational theories and key papers to deepen your understanding of reality's framework. 🛠️🌌

The experiment scripts of the TARNet model for classification of time series with missing balues

Case study of a time-series regression task for 24h wind forecasting. Investigation of OLS, XGB and MLP applications.

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