shiyu-coder / Kronos

Kronos is an open-source decoder-only foundation model pretrained on financial candlestick (K-line) sequences for market forecasting.

666ghj / MiroFish

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

google-research / timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

jsaumer / homepage

A printed-menu theme for Homepage: three columns of services on dark paper, with dotted leaders to their status, a dated masthead with a three-day forecast, and figures set in Spectral. CSS and JS only, no fork.

amazon-science / chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

open-meteo / open-meteo

Free Weather Forecast API for non-commercial use

Simreal-AI / future-prediction-bench

[Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.

IBM / AssetOpsBench

AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.

co-minder / SocietyBench-codebase

A benchmark for evaluating LLMs on probabilistic social-event forecasting.

facebook / prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

autogluon / autogluon

Fast and Accurate ML in 3 Lines of Code

Nixtla / neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

KartoffelToby / better_thermostat

This custom component for Home Assistant will add crucial features to your climate-controlling TRV (Thermostatic Radiator Valves) to save you the work of creating automations to make it smart. It combines a room-temperature sensor, window/door sensors, weather forecasts, or an ambient temperature probe to decide when it should call for heat and automatically calibrate your TRVs to fix the imprecise measurements taken in the radiator's vicinity.

TSCenter / awesome-time-series-papers

An Awesome List of the latest time series papers and code from top AI venues.

Luciferbobo / KiT

KiT: A Foundation Model for Financial Time-Series Forecasting using Diffusion Transformers

statsmodels / statsmodels

Statsmodels: statistical modeling and econometrics in Python

sktime / sktime

A unified framework for machine learning with time series

unit8co / darts

A python library for user-friendly forecasting and anomaly detection on time series.

awslabs / gluonts

Probabilistic time series modeling in Python

sktime / pytorch-forecasting

Time series forecasting with PyTorch

Nixtla / statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

microsoft / FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

ourownstory / neural_prophet

NeuralProphet: A simple forecasting package

Nixtla / nixtla

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

AIStream-Peelout / flow-forecast

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

WenjieDu / PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

wrf-model / WRF

The official repository for the Weather Research and Forecasting (WRF) model

decisionintelligence / TFB

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

alkaline-ml / pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Akkudoktor-EOS / EOS

This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor)

bashtage / arch

ARCH models in Python

skforecast / skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

aeon-toolkit / aeon

A toolkit for time series machine learning and deep learning

winedarksea / AutoTS

Automated Time Series Forecasting

Nixtla / mlforecast

Scalable machine 🤖 learning for time series forecasting.

robjhyndman / forecast

Forecasting Functions for Time Series and Linear Models

ikpil / DotRecast

DotRecast - a C# port of Recast & Detour, Industry-standard navigation mesh toolset for .NET, Unity3D, games, servers

DaoSword / Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

Nixtla / hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

agent-next / polymarket-paper-trader

Paper trading simulator for Polymarket

birla-ai-labs / yug

Yug: a foundation model for zero-shot probabilistic time-series forecasting

Sixian-Li / f1-quali

Cutoff-aware driver ratings and four-pool Formula 1 qualifying predictions (Q2, Q3, Top 3, pole)

schachmat / wego

weather app for the terminal

facebookresearch / Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

benjamn / recast

JavaScript syntax tree transformer, nondestructive pretty-printer, and automatic source map generator

tslearn-team / tslearn

The machine learning toolkit for time series analysis in Python

kylecorry31 / Trail-Sense

An Android app that uses your phone's sensors to assist with wilderness treks or survival situations.

unjs / magicast

🧀 Programmatically modify JavaScript and TypeScript source codes with a simplified, elegant and familiar syntax powered by recast and babel.

MiroShark / MiroShark

Simulate anything, for $1 & less than 10 min - Universal Swarm Intelligence Engine

arrobalytics / django-ledger

Django Ledger is a double entry accounting system and financial analysis engine built on the Django Web Framework.

kdeldycke / awesome-billing

💰 Billing & Payments knowledge for cloud platforms

fraunhoferportugal / tsfel

Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python

lixus7 / Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

microsoft / aurora

Implementation of the Aurora model for Earth system forecasting

pkissling / clock-weather-card

An iOS-inspired clock and weather card for Home Assistant, with animated icons, hourly and daily forecasts, and a layout you build yourself.

stakater / Forecastle

Forecastle is a control panel which dynamically discovers and provides a launchpad to access applications deployed on Kubernetes – [✩Star] if you're using it!

coderaiser / putout

🐊 Pluggable and configurable JavaScript Linter, code transformer and formatter with superpowers 💪: built-in support of js, jsx, ts, markdown, yaml, toml, json and ignore. Write declarative codemods in a simplest possible way 😏

StatMixedML / XGBoostLSS

An extension of XGBoost to probabilistic modelling

xmarre / ComfyUI-Spectrum-MiniMax-H3

Training-free Spectrum acceleration for ComfyUI’s native MiniMax H3 audio-video model. Uses Chebyshev ridge feature forecasting to skip selected H3 transformer evaluations, with adaptive scheduling, sampler-aware support for Euler, ER-SDE, RES, SEEDS and SA-Solver, CPU/VRAM history storage, and fail-closed native fallbacks.

JordiCorbilla / stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting