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.
jsaumer / homepage
wrf-model / WRF
The official repository for the Weather Research and Forecasting (WRF) model
666ghj / MiroFish
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. ็ฎๆด้็จ็็พคไฝๆบ่ฝๅผๆ๏ผ้ขๆตไธ็ฉ
google-research / timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
facebook / prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
statsmodels / statsmodels
Statsmodels: statistical modeling and econometrics in Python
autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
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.
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.
open-meteo / open-meteo
Free Weather Forecast API for non-commercial use
amazon-science / chronos-forecasting
Chronos: Pretrained Models for Time Series Forecasting
awslabs / gluonts
Probabilistic time series modeling in Python
sktime / pytorch-forecasting
Time series forecasting with PyTorch
Nixtla / statsforecast
Lightning โก๏ธ 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 / neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
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 ๐.
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.
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.
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
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
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.
MiroShark / MiroShark
Simulate anything, for $1 & less than 10 min - Universal Swarm Intelligence Engine
aeon-toolkit / aeon
A toolkit for time series machine learning and deep learning
winedarksea / AutoTS
Automated Time Series Forecasting
arrobalytics / django-ledger
Django Ledger is a double entry accounting system and financial analysis engine built on the Django Web Framework.
kdeldycke / awesome-billing
๐ฐ Billing & Payments knowledge for cloud platforms
Nixtla / mlforecast
Scalable machine ๐ค learning for time series forecasting.
robjhyndman / forecast
Forecasting Functions for Time Series and Linear Models
TSCenter / awesome-time-series-papers
An Awesome List of the latest time series papers and code from top AI venues.
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 โ [โฉStar] if you're using it!
DaoSword / Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.
Nixtla / hierarchicalforecast
Probabilistic Hierarchical forecasting ๐ with statistical and econometric methods.
StatMixedML / XGBoostLSS
An extension of XGBoost to probabilistic modelling
xmarre / ComfyUI-Spectrum-MiniMax-H3
Training-free Spectrum acceleration for ComfyUIโs 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.
agent-next / polymarket-paper-trader
Paper trading simulator for Polymarket
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.
Simreal-AI / future-prediction-bench
[Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.
dreamers-laboratory / timeseries-atlas
A map of modern time-series forecasting architectures, each with a short README and runnable code.
Ali-Marandi / SmartHome-Automation
Local-first Windows smart-home control center with Home Assistant, secure MQTT, Zigbee2MQTT, and local energy forecasting.
yuyidong / gridllm-load-forecasting
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