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awslabs/gluonts

A Python library for probabilistic time series modeling and forecasting, useful for data scientists and ML engineers.

5.1K
Stable
Python
ML Ops
Databases
PyTorch
#time-series#forecasting#deep-learning

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

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

time-series-foundation-models/lag-llama

A Python library for probabilistic time series forecasting using large language models like LLaMA.

1.6K
Experimental
Python
LLM Frameworks
Time Series
Python
#forecasting#time-series#transformers

Ceruleanacg/Personae

Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.

1.4K
Archived
Python
Reinforcement Learning
Supervised Learning
Python
#reinforcement-learning#supervised-learning#stock-trading

LibCity/Bigscity-LibCity

An open-source toolkit for urban spatial-temporal data mining and traffic prediction tasks.

1.1K
Archived
Python
ML Ops
API Frameworks
PyTorch
#spatio-temporal-prediction#traffic-forecasting#traffic-prediction

cuge1995/awesome-time-series

A curated list of resources for time series forecasting, including papers, code, and other materials.

1.0K
Stable
Time Series
Tutorials & Courses
#time-series#forecasting#spatio-temporal

aangelopoulos/conformal-prediction

Lightweight implementation of conformal prediction, a method for uncertainty estimation in machine learning.

1.0K
Stable
Jupyter Notebook
Uncertainty Estimation
Machine Learning
Python
#conformal-prediction#uncertainty-estimation#machine-learning

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