Reverse Dependencies of hmmlearn

The following projects have a declared dependency on hmmlearn:

• aideml — Autonomous AI for Data Science and Machine Learning
• clearCNV — Clinical sequencing panel CNV caller and visualizer
• cr-features — A library for calculating features suitable for context recognition
• daric — DARIC, a computational framework to find quantitatively differential compartments from Hi-C data
• ddsp — Differentiable Digital Signal Processing
• deepbgc — DeepBGC - Biosynthetic Gene Cluster detection and classification
• deepsleep — Sleep EEG classification
• ds-methods — Pipelines architecture for common data science methods and time series analysis
• dylightful — Package to uncover hidden interaction patterns in supramolecular complexes
• ethoscopy — A python based toolkit to download and anlyse data from the Ethoscope hardware system.
• HiTIPS — HiTIPS: High-Throughput Image Processing Software for FISH data analysis
• hmmviz — A package for visualizing state transition graphs from hidden Markov models or other models.
• libmv — a library to create music videos
• pyAudioKits — Powerful Python audio workflow support based on librosa and other libraries
• pycbp — A Library for Constrained Belief Propagation
• pydfc — This package aims to provide a comprehensive framework for assessing dynamic functional connectivity (dFC) using multiple methods and comparing results across methods.
• pyErmine — Estimate Reaction-rates by Markov-based Investigation of Nanoscopy Experiments (ermine) using Python.
• pyhumour — A module for the characterization and quantification of concise humour
• ReacNetGenerator — ReacNetGenerator: An automatic reaction network generator for reactive molecular dynamics simulation.
• scdna-replication-tools — Code for analyzing single-cell replication dynamics
• scgenome — Code for analyzing single cell whole genomes
• scikit-allel — A Python package for exploring and analysing genetic variation data.
• sequentia — Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
• sfHMM — step finding based HMM
• skweak — Software toolkit for weak supervision in NLP
• spectral-rhythm-detector — Identify spectral rhythm events
• spindle-detector — Identify spindle events
• stepcount — Step counter for wrist-worn accelerometers compatible with the UK Biobank Accelerometer Dataset
• syntheon — Inference parameters of music synthesizers with deep learning
• tketool — Some base methods for developing
• tsbootstrap — A Python package to generate bootstrapped time series
• UCTB — Urban Computing ToolBox
• virgo-modules — data processing and statistical modeling using stock market data