Reverse Dependencies of hmmlearn

The following projects have a declared dependency on hmmlearn:

• aideml — Autonomous AI for Data Science and Machine Learning
• bbstrader — Simplified Investment & Trading Toolkit
• clearCNV — Clinical sequencing panel CNV caller and visualizer
• comet-toolbox — Dynamic functional connectivity toolbox for multiverse analysis
• compiam — Common tools for the computational analysis of Indian Art Music.
• 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
• echidna-sc — Mapping genotype to phenotype through joint probabilistic modeling of single-cell gene expression and chromosomal copy number variation.
• ethoscopy — A python based toolkit to download and anlyse data from the Ethoscope hardware system.
• geniml — Genomic interval toolkit
• hiscanner — High-resolution single-cell copy number analysis.
• HiTIPS — HiTIPS: High-Throughput Image Processing Software for FISH data analysis
• hmmCDR — Find CDR locations using bedmethyl file and CenSat annotations. (REQUIRES BEDTOOLS INSTALLED)
• hmmviz — A package for visualizing state transition graphs from hidden Markov models or other models.
• libmv — a library to create music videos
• lisbet — LISBET (LISBET Is a Social BEhavior Transformer)
• ml-pitch-models — Machine-learning models for monophonic pitch (F0) estimation
• nanosense — A comprehensive package for solid state nanopore data analysis and visualization.
• nilmtk_s14pe — no summary
• papylio — Single-molecule fluorescence data extraction and analysis.
• 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.
• sc-echidna — Mapping genotype to phenotype through joint probabilistic modeling of single-cell gene expression and chromosomal copy number variation.
• 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
• simple-asr — Wrapper module around wav2vec2 designed for ease of use
• 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
• TraceAnalyser — Time Series Analysis Software
• tsbootstrap — A Python package to generate bootstrapped time series
• UCTB — Urban Computing ToolBox
• vame-py — Variational Animal Motion Embedding.
• visualizing-training — Modelling Training Dynamics and Interpreting the dynamics