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Nixtla/statsforecast

A fast, open-source library for time series forecasting using statistical and econometric models.

4.7K
Active
Python
ML Ops
Databases
Python
#forecasting#time-series#statistics

666ghj/MiroFish

A simple and universal swarm intelligence engine for predicting anything, built with Python.

4.5K
Active
Python
Agents & Orchestration
Future Prediction
Python3
#swarm-intelligence#multi-agent-simulation#knowledge-graph

salesforce/Merlion

A Python framework for building advanced time series forecasting and anomaly detection models.

4.5K
Archived
Python
ML Ops
Caching
#time-series#forecasting#anomaly-detection

microsoft/FLAML

A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.

4.3K
Active
Jupyter Notebook
Automated Machine Learning
Machine Learning
Jupyter Notebook
#automated-machine-learning#hyperparameter-optimization#tabular-data

ourownstory/neural_prophet

NeuralProphet is a simple forecasting package that uses neural networks and time series analysis to make predictions.

4.3K
Archived
Python
LLM Frameworks
API Frameworks
PyTorch
#forecasting#time-series#neural-networks

Nixtla/neuralforecast

Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.

4.0K
Active
Python
ML Ops
API Frameworks
PyTorch
#forecasting#time-series#deep-learning

Nixtla/nixtla

TimeGPT-1 is a production-ready pre-trained time series foundation model for forecasting and anomaly detection.

3.8K
Active
Jupyter Notebook
LLM Frameworks
API Frameworks
Jupyter Notebook
#anomaly-detection#forecasting#time-series

yangwohenmai/LSTM

A Python library for time series forecasting using LSTM neural networks.

3.6K
Archived
Python
Forecast
API Frameworks
#time-series#forecasting#lstm

qingsongedu/time-series-transformers-review

A curated list of awesome resources on transformers in time series analysis, forecasting, and more.

3.0K
Archived
Transformers
Time Series
#time-series#forecasting#anomaly-detection

Alro10/deep-learning-time-series

A repository with papers, code, and experiments using deep learning for time series forecasting.

2.8K
Archived
Jupyter Notebook
ML Ops
Time Series
PyTorch
#deep-learning#time-series-forecasting#forecasting-models

KimMeen/Time-LLM

An official implementation of a time series forecasting model using large language models.

2.5K
Stable
Python
LLM Frameworks
Time Series
Python
#time-series-forecasting#large-language-models#deep-learning

kylecorry31/Trail-Sense

An Android app that uses phone sensors to assist with wilderness treks and survival situations.

2.5K
Active
Kotlin
Android
Sensors
Android
#android#sensors#navigation

curiousily/Getting-Things-Done-with-Pytorch

A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.

2.5K
Archived
Jupyter Notebook
Computer Vision
Time Series Forecasting
#computer-vision#time-series#anomaly-detection

yuqinie98/PatchTST

An official implementation of a Transformer-based time series forecasting model.

2.5K
Archived
Python
LLM Frameworks
Time Series
Python
#transformer#time-series-forecasting#open-source

cure-lab/LTSF-Linear

This repository provides an official implementation of a paper on using transformers for time series forecasting.

2.4K
Archived
Python
LLM Frameworks
API Frameworks
PyTorch
#time-series-forecasting#transformers#deep-learning

thuml/Autoformer

Autoformer: A deep learning model for long-term time series forecasting, focused on developers building with AI tools.

2.4K
Experimental
Jupyter Notebook
LLM Frameworks
Inference
PyTorch
#time-series-forecasting#deep-learning#transformer

thuml/iTransformer

Official implementation of iTransformer, an effective transformer-based time series forecasting model.

2.0K
Experimental
Python
Time Series Forecasting
API Frameworks
Python
#time-series-forecasting#transformer#forecasting

WenjieDu/PyPOTS

A Python toolkit for building machine/deep learning models on partially-observed time series data

2.0K
Active
Python
Machine Learning Ops
Databases
PyTorch
#time-series#anomaly-detection#forecasting

kwuking/TimeMixer

Official implementation of a decomposable multiscale mixing model for time series forecasting

1.9K
Stable
Python
Time Series Forecasting
Time Series
PyTorch
#time-series-analysis#forecasting#deep-learning

linkedin/greykite

A flexible, intuitive and fast forecasting library for time series data analysis and prediction.

1.9K
Experimental
Python
ML Ops
API Frameworks
Python
#forecasting#time-series#data-analysis

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