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 machine learning from time series

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

Collection of my Time series Analysis Projects

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)

NARX Pytorch implementation

Time Series Regression Models

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

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

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

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. 🛠️🌌