Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
Repository Index
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Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
Probabilistic time series modeling in Python
- time-series
- deep-learning
- forecasting
- neural-networks
Time series forecasting with PyTorch
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
- deep-learning
- pytorch
- time-series-forecasting
- time-series
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
- time-series
- data-mining
- deep-learning
- missing-values
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
- python
- forecasting
- bayesian
- exponential-smoothing
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
ObsPy: A Python Toolbox for seismology/seismological observatories.
- seismology
- python
- observatories
- science
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
- time-series-analysis
- model-selection
- bayesian-inference
- anomaly-detection