wrf-model / WRF
The official repository for the Weather Research and Forecasting (WRF) model
wrf-model / WRF
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
owncast / owncast
Take control over your live stream video by running it yourself. Streaming + chat out of the box.
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.
AntennaPod / AntennaPod
A podcast manager for Android
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.
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.
xfirefly / Airplay-SDK
The Best Airplay SDK supports Airplay Mirroring and AirPlay Casting to a receiver device.
xtensor-stack / xtensor
C++ tensors with broadcasting and lazy computing
gkjohnson / three-mesh-bvh
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
OvenMediaLabs / OvenMediaEngine
OvenMediaEngine (OME) is a Sub-Second Latency Live Streaming Server with Large-Scale and High-Definition. #WebRTC #LLHLS
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.
thechangelog / changelog.com
Changelog makes world-class developer pods. This is our open source platform.
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.
gookit / goutil
๐ช Helper Utils(900+): int, byte, string, array/slice, map, struct, dump, convert/format, error, web/http, cli/flag, OS/ENV, filesystem, system, test/assert, time and more. Go ๅธธ็จ็ๅทฅๅ ทๅฝๆฐ๏ผๆฐๅญ๏ผๅญ็ฌฆไธฒ๏ผๆฐ็ป๏ผMap๏ผ็ปๆไฝ๏ผๅๅฐ๏ผๆๆฌ๏ผๆไปถ๏ผ้่ฏฏ๏ผๆถ้ดๆฅๆ๏ผ็นๆฎๅค็๏ผๆ ผๅผๅ๏ผๅธธ็จไฟกๆฏ่ทๅ็ญ็ญ
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
mxpv / podsync
Turn YouTube or Vimeo channels, users, or playlists into podcast feeds
django-commons / django-polymorphic
Improved Django model inheritance with automatic downcasting
ebu / awesome-broadcasting
A curated list of amazingly awesome open source resources related to broadcast technologies
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
vega-org / vega-app
A app to Play, Stream or Cast Media for andorid.
skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
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.
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
CasparCG / server
CasparCG Server is a Windows and Linux software used to play out professional graphics, audio and video to multiple outputs. It has been in 24/7 broadcast production since 2006. Ready-to-use downloads are available under the Releases tab https://casparcg.com.
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
achrefelouafi / LinearAbiltyCastingThreeJS
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libretime / libretime
LibreTime: Radio Broadcast & Automation Platform
sockudo / sockudo
Blazingly fast pusher drop-in replacement written in rust
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.
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
futo-org / fcast
FCast Issue Tracker and Source Mirror
ekonbenefits / impromptu-interface
Static interface to dynamic implementation (duck casting). Uses the DLR combined with Reflect.Emit.
jitsi / jibri
Jitsi BRoadcasting Infrastructure