gluonts
Time Series Modeler
A Python package for building probabilistic models of time series data using deep learning techniques.
Probabilistic time series modeling in Python
5k stars
77 watching
755 forks
Language: Python
last commit: 13 days ago
Linked from 1 awesome list
artificial-intelligenceawsdata-sciencedeep-learningforecastingmachine-learningmxnetneural-networkspytorchsagemakertime-seriestime-series-forecastingtime-series-predictiontimeseriestorch
Related projects:
Repository | Description | Stars |
---|---|---|
timeseriesai/tsai | A comprehensive deep learning package for time series data analysis and forecasting. | 5,262 |
sktime/pytorch-forecasting | A PyTorch-based package for state-of-the-art time series forecasting with deep learning architectures | 4,001 |
nixtla/statsforecast | An implementation of widely used time series forecasting models in Python | 3,990 |
unit8co/darts | A Python library for user-friendly time series forecasting and anomaly detection | 8,087 |
blue-yonder/tsfresh | An automated feature extraction tool for time series data, removing irrelevant features and improving machine learning model performance. | 8,435 |
pyro-ppl/pyro | A deep probabilistic programming library built on PyTorch to represent and analyze complex probability distributions. | 8,556 |
pgmpy/pgmpy | A Python package for working with Bayesian Networks and related models. | 2,748 |
rjt1990/pyflux | A comprehensive time series modeling library with various statistical models and inference methods. | 2,111 |
sktime/sktime | A unified framework for time series analysis and machine learning | 7,968 |
uber/orbit | A Python package for Bayesian time series forecasting and inference with probabilistic programming languages under the hood. | 1,883 |
tslearn-team/tslearn | A Python toolkit for time series analysis and machine learning algorithms | 2,910 |
skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,156 |
damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 318 |
jaungiers/lstm-neural-network-for-time-series-prediction | A Python implementation of a Long Short-Term Memory neural network designed for predicting time series data sequences | 4,841 |
cornellius-gp/gpytorch | A library for creating scalable and flexible Gaussian process models with ease | 3,580 |