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824 search results found

Applied Ml ⭐ 24,828

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Mindsdb ⭐ 19,723

Build AI 🤖 using SQL

Prophet ⭐ 17,693

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Deeplearningexamples ⭐ 12,073

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Statsmodels ⭐ 9,242

Statsmodels: statistical modeling and econometrics in Python

Sktime ⭐ 7,405

A unified framework for machine learning with time series

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

Darts ⭐ 6,903

A python library for user-friendly forecasting and anomaly detection on time series.

Awesome Project Ideas ⭐ 6,856

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Postgresml ⭐ 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.

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Informer2020 ⭐ 4,553

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Gluonts ⭐ 4,288

Probabilistic time series modeling in Python

Neural_prophet ⭐ 3,512

NeuralProphet: A simple forecasting package

Pytorch Forecasting ⭐ 3,439

Time series forecasting with PyTorch

Statsforecast ⭐ 3,339

Lightning ⚡️ fast forecasting with statistical and econometric models.

Merlion ⭐ 3,179

Merlion: A Machine Learning Framework for Time Series Intelligence

Forecasting ⭐ 2,540

Time Series Forecasting Best Practices & Examples

Neuralforecast ⭐ 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 ⭐ 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 ⭐ 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?"

Time Series Transformers Review ⭐ 1,519

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Pmdarima ⭐ 1,517

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 models in Python

Nixtla ⭐ 1,144

Python SDK for TimeGPT

Stockpriceprediction ⭐ 1,132

Stock Price Prediction using Machine Learning Techniques

The official repository for the Weather Research and Forecasting (WRF) model

Forecast ⭐ 1,080

forecast package for R

Pytorch Ts ⭐ 1,068

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Transdim ⭐ 1,013

Machine learning for transportation data imputation and prediction.

T Gcn ⭐ 1,011

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Automated Time Series Forecasting

Gnn4traffic ⭐ 864

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

Awesome Trajectory Prediction ⭐ 863

ETNA – Time-Series Library

Skforecast ⭐ 792

Time series forecasting with scikit-learn models

Non-Intrusive Load Monitoring Toolkit (nilmtk)

Awesome Time Series ⭐ 788

list of papers, code, and other resources

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

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.

Awesome Ai For Time Series Papers ⭐ 627

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Time series analysis in the `tidyverse`

Failed Ml ⭐ 585

Compilation of high-profile real-world examples of failed machine learning projects

Financeops ⭐ 568

Research in investment finance with Python Notebooks

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 📈

Awesome Timeseries Spatiotemporal Lm Llm ⭐ 541

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Tidy time series forecasting

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

Trajectron Plus Plus ⭐ 484

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Modeltime ⭐ 483

Modeltime unlocks time series forecast models and machine learning in one framework

Hierarchicalforecast ⭐ 473

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

M5 Methods ⭐ 472

Data, Benchmarks, and methods submitted to the M5 forecasting competition

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Tsstudio ⭐ 412

Tools for time series analysis and forecasting

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

Timeseries_seq2seq ⭐ 362

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

Prophet Ruby ⭐ 361

Time series forecasting for Ruby

Wrf Python ⭐ 351

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

Awesome Risk Quantification ⭐ 340

A collection of awesome projects, blog posts, books, and talks on quantifying risk

Transformer_time_series ⭐ 331

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

Competition Winners ⭐ 316

The code for the prize winners in DrivenData competitions.

Deeptime ⭐ 313

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)

Time Series Forecasting And Deep Learning ⭐ 298

Resources about time series forecasting and deep learning.

Timeseriesanalysiswithpython ⭐ 296

Time Series Analysis with Python

Scalecast ⭐ 292

The practitioner's forecasting library

The PyTorch version of STGCN.

Etdataset ⭐ 290

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Deep Time Series Prediction ⭐ 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

Time Series Deep Learning State Of The Art ⭐ 269

Scientific time series and deep learning state of the art

538model ⭐ 269

538 Election Forecasting Model

Time Series Papers ⭐ 262

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

Notebooks ⭐ 262

atoti notebooks gallery

Load_forecasting ⭐ 260

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Deeplearningfortimeseriesforecasting ⭐ 258

A tutorial demonstrating how to implement deep learning models for time series forecasting

Companies Using R ⭐ 253

A Curated list of R uses in entreprise

Statespacemodels.jl ⭐ 249

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Traffic_prediction ⭐ 237

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

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.

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 ⭐ 212

Hierarchical Time Series Forecasting with a familiar API

Streamlit_prophet ⭐ 205

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

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