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.

amazon-science / chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

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.

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.

ourownstory / neural_prophet

NeuralProphet: A simple forecasting package

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

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.

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)

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.

tslearn-team / tslearn

The machine learning toolkit for time series analysis in Python

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.

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

microsoft / aurora

Implementation of the Aurora model for Earth system forecasting

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

reservoirpy / reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

TimeCopilot / timecopilot

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

pySTEPS / pysteps

Python framework for short-term ensemble prediction systems.

NCAR / wrf-python

A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.

OliverDOU776 / Few-step-probabilistic-glucose-forecasting-from-continuous-glucose-monitoring-and-meal-images

Official research code for GlucoFlow: few-step multimodal probabilistic glucose forecasting.

dagoSte / squadra

Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.

dreamers-laboratory / timeseries-atlas

A map of modern time-series forecasting architectures, each with a short README and runnable code.

yuyidong / gridllm-load-forecasting

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Colinjqq / content-forecast

A creator-first AI skill for topic generation, script review, filming guidance, and view forecasting.

Yu-ChangCheng / manufacturing-forecasting-framework

Reproducible monthly demand forecasting with Random Forest, chronological backtests, transparent baselines, and a guided local app.

Alif1642 / retail-demand-forecasting-inventory

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MartvanMale / hass-occupancy

Home Assistant add-on that forecasts who will be home, hour by hour, for the next 48 hours. Including estimated time of depature and arrival.

47thtechcorner / RayCodes_Kronos

Kronos AI: Tiny Model That Beats Expensive Trading Bots - Open-source foundation model for financial candlesticks with Ollama Llama 3.2 Indian market analysis.

PkLavc / Autotrader

Autonomous AI trading system powered by Kronos. Forecasts markets, builds portfolios and paper-trades automatically with GitHub Actions.

denysdovhan / ha-ukr-hmc

An integration for weather, radiation, and hydrology data from the Ukrainian Hydrometeorological Center for Home Assistant

kachence / prediction-almanac

A self-updating awesome list of prediction markets, their data coverage, and tools - regenerated from structured data

nv-tlabs / lidarverse

A Real-time LiDAR World Model that generates, forecasts, and resimulates within a single model.