shiyu-coder / Kronos
Kronos is an open-source decoder-only foundation model pretrained on financial candlestick (K-line) sequences for market forecasting.
shiyu-coder / Kronos
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.
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
django-commons / django-polymorphic
Improved Django model inheritance with automatic downcasting
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
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.
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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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.
kachence / prediction-almanac
A self-updating awesome list of prediction markets, their data coverage, and tools - regenerated from structured data