List of papers, code and experiments using deep learning for time series forecasting

Scalable machine 🤖 learning for time series forecasting.

A unified framework for machine learning with time series

Data, Benchmarks, and methods submitted to the M5 forecasting competition

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

ChatGPT and Bing AI prompt curation

Automatic extraction of relevant features from time series:

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Kolmogorov Arnold Networks

Official repository of the xLSTM.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Race Driver: Grid Multithread Fix

A community-maintained Python framework for creating mathematical animations.

Collection of handy online tools for developers, with great UX.

Animation engine for explanatory math videos

Enterprise, fast, secure VPN & SSO platform with hardware keys, 2FA/MFA

WireGuard road warrior installer for Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS and Fedora

Set up your own OpenVPN server on Debian, Ubuntu, Fedora, CentOS or Arch Linux.

OpenVPN road warrior installer for Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS and Fedora

FastAPI Tips by The FastAPI Expert!

.NET API Gateway

Program designed for search and kill silent miners

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

An open-access benchmark and toolbox for electricity price forecasting

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

Build better UIs faster.

Time Series Analysis and Forecasting in Python

Question and Answer based on Anything.