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forecasting
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python
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365 search results found
Mindsdb
⭐
19,723
Build AI 🤖 using SQL
Prophet
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17,583
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Statsmodels
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9,242
Statsmodels: statistical modeling and econometrics in Python
Sktime
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7,174
A unified framework for machine learning with time series
Autogluon
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6,976
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
Darts
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6,903
A python library for user-friendly forecasting and anomaly detection on time series.
Postgresml
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5,135
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Informer2020
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4,553
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Tsai
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4,294
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Neural_prophet
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3,512
NeuralProphet: A simple forecasting package
Pytorch Forecasting
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3,439
Time series forecasting with PyTorch
Statsforecast
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3,339
Lightning ⚡️ fast forecasting with statistical and econometric models.
Forecasting
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2,540
Time Series Forecasting Best Practices & Examples
Neuralforecast
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2,121
Scalable and user friendly neural 🧠 forecasting algorithms.
Deep Learning Time Series
⭐
1,811
List of papers, code and experiments using deep learning for time series forecasting
Awesome_time_series_in_python
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1,811
This curated list contains python packages for time series analysis
Orbit
⭐
1,776
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Flow Forecast
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1,759
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Ltsf Linear
⭐
1,540
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Pmdarima
⭐
1,505
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Arch
⭐
1,212
ARCH models in Python
Pytorch Ts
⭐
1,068
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
Autots
⭐
935
Automated Time Series Forecasting
Etna
⭐
828
ETNA – Time-Series Library
Skforecast
⭐
792
Time series forecasting with scikit-learn models
Nilmtk
⭐
785
Non-Intrusive Load Monitoring Toolkit (nilmtk)
Django Ledger
⭐
785
A bookkeeping & financial analysis engine for the Django Framework.
Functime
⭐
768
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Time Series Prediction
⭐
762
tfts: Time series deep learning models in TensorFlow
Aeon
⭐
723
A toolkit for conducting machine learning tasks with time series data
N Beats
⭐
686
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Luminaire
⭐
660
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Mlforecast
⭐
635
Scalable machine 🤖 learning for time series forecasting.
Financeops
⭐
568
Research in investment finance with Python Notebooks
Pypots
⭐
558
A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data. https://arxiv.org/abs/2305.18811
Web Traffic Forecasting
⭐
552
Kaggle | Web Traffic Forecasting 📈
Scinet
⭐
509
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
Time Series Forecasting With Python
⭐
499
A use-case focused tutorial for time series forecasting with python
Hierarchicalforecast
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473
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Pyaf
⭐
438
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Atspy
⭐
409
AtsPy: Automated Time Series Models in Python (by @firmai)
Time Series Autoencoder
⭐
386
📈 PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series 📈
Nonstationary_transformers
⭐
364
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
Wrf Python
⭐
351
A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
Deeptime
⭐
313
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Scalecast
⭐
292
The practitioner's forecasting library
Stgcn
⭐
290
The PyTorch version of STGCN.
Deep Time Series Prediction
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287
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Tsfeatures
⭐
285
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Nfl Elo Game
⭐
270
Data and code for FiveThirtyEight's NFL game
538model
⭐
269
538 Election Forecasting Model
Da Rnn
⭐
242
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
Pyfts
⭐
232
An open source library for Fuzzy Time Series in Python
Covid19 Severity Prediction
⭐
226
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
Hyperts
⭐
225
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Hands On Python For Finance
⭐
220
Hands-on Python for Finance published by Packt.
Warren
⭐
214
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
Climpred
⭐
213
🌎 Verification of weather and climate forecasts 🌍
Scikit Hts
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212
Hierarchical Time Series Forecasting with a familiar API
Streamlit_prophet
⭐
205
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
Seriesnet
⭐
202
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
Xskillscore
⭐
201
Metrics for verifying forecasts
Deep Learning For Hackers
⭐
196
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Esrnn Gpu
⭐
188
PyTorch GPU implementation of the ES-RNN model for time series forecasting
Stocks Pattern Analyzer
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184
This tool should help discover different patterns based on similarity measures in historical (financial) data
Astgcn
⭐
183
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
Time Series Analysis With Python Cookbook
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183
Time Series Analysis with Python Cookbook, published by Packt
Ssq
⭐
181
该项目用于预测双色球,目前仍处于开发中。(This project is dedicated to forecasting the result of welfare lottery named Union Lotto in China.)
Lightgbmlss
⭐
179
An extension of LightGBM to probabilistic modelling
Dts
⭐
157
A Keras library for multi-step time-series forecasting.
Awips2
⭐
157
Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.
Tbats
⭐
151
BATS and TBATS forecasting methods
Cikm Cup 2017
⭐
145
CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images
Epftoolbox
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141
An open-access benchmark and toolbox for electricity price forecasting
Dsanet
⭐
140
Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
Kaggle Competition Favorita
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138
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Supplychainpy
⭐
137
Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.
Stock Market Forecasting
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136
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
Hcrystalball
⭐
135
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Point Cloud Prediction
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134
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Tspiral
⭐
133
A python package for time series forecasting with scikit-learn estimators.
Gis4wrf
⭐
132
QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
Qlik Py Tools
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132
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Etsformer
⭐
131
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Ha Solcast Solar
⭐
130
Solcast Integration for Home Assistant
Lanegcn
⭐
128
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
Time_series_forecasting_pytorch
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127
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
Tcdf
⭐
121
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Gan Rnn_timeseries Imputation
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118
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Applied Machine Learning
⭐
117
A step-by-step guide to get started with Applied Machine Learning
Stldecompose
⭐
116
A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
Metatraderforecast
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114
RNN based Forecasting App for Meta Trader and similar trading platforms
Htsprophet
⭐
111
Hierarchical Time Series Forecasting using Prophet
Argoverse Forecasting
⭐
110
Official Repository for Argoverse Motion Forecasting Baselines
Ceemdan_lstm
⭐
109
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
Forestatrisk
⭐
108
📦 🐍 Python package to model and forecast the risk of deforestation
Machinelearning
⭐
106
Machine learning for beginner(Data Science enthusiast)
Windml
⭐
103
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction
Deep Quant
⭐
98
Deep learning for forecasting company fundamental data
Lisflood Code
⭐
96
Lisflood OS - LISFLOOD
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