Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
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Statsmodels: statistical modeling and econometrics in Python
Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Automatic extraction of relevant features from time series:
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Chronos: Pretrained Models for Time Series Forecasting
Probabilistic time series modeling in Python
Technical Analysis Library using Pandas and Numpy
Time series forecasting with PyTorch
Lightning ⚡️ fast forecasting with statistical and econometric models.
STUMPY is a powerful and scalable Python library for modern time series analysis
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
ObsPy: A Python Toolbox for seismology/seismological observatories.
Easy to use .NET library for data and time series manipulation and for scientific programming
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Tidy anomaly detection
Bioruby Statsample TimeSeries