Reverse Dependencies of pyts

The following projects have a declared dependency on pyts:

• autoXRD — A package for automated XRD analysis
• beatprofiler — Cardiac functional analysis tool for in vitro models
• birm-nm-foo — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
• ceruleo — Remaining useful life estimation utilities
• DiscoEPG — Open-source package for insects EPG data analysis
• eargait — *Eargait* provides a set of algorithms and functions to process IMU data recorded with ear-worn IMU sensors and to estimate characteristic gait parameters.
• eeg-ml-pipeline — A Python package for EEG machine learning analysis, classification, and visualization.
• etna — ETNA is the first python open source framework of T-Bank AI Center. It is designed to make working with time series simple, productive, and fun.
• GAForecast — Prediction library for tabular data powered by neural network.
• gen-info-est-tools — Package for information estimation, independence test, causal structure mining, etc.
• neuromancer — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
• orion-ml — Orion is a machine learning library built for unsupervised time series anomaly detection.
• physiossl — PhysioSSL: A Python Toolbox for Physiological Time-series Representation Learning
• pyFBS — pyFBS: A Python package for Frequency Based Substructuring and Transfer Path Analysis
• relionai — Comprehensive ML Testing directly into your stack with just a few lines of code
• scikit-map — scikit-learn applied to mapping and spatial prediction
• scuteegfe — EEG Signal Feature Exacting, a wrapper of mne_features
• sintel — Sintel(Signal Intelligence) provides Restful APIs to processmassive signal data for anomaly analysis in an efficientand user-friendly way
• topological-signal-compression — Topological Signal Compression
• tsai — Practical Deep Learning for Time Series / Sequential Data library based on fastai & Pytorch
• tsia — A Python package for time series analysis through images
• TSInterpret — todo