Alternatives and similar repositories for rapidAligner:

Users that are interested in rapidAligner are comparing it to the libraries listed below

• dderiso / gdtw
  GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.
  ☆39Updated 7 months ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆50Updated 5 years ago
• samcohen16 / Aligning-Time-Series
  ☆51Updated 8 months ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆58Updated 9 months ago
• garrettwrong / cuTWED
  Linear memory CUDA Time Warp Edit Distance
  ☆29Updated 2 years ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆79Updated last year
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆32Updated 4 years ago
• josemiotto / pylevy
  Levy distributions for Python
  ☆36Updated last year
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆125Updated 3 years ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 2 years ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆40Updated last year
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆94Updated last year
• arvoelke / nengolib
  Nengo library of additional extensions
  ☆29Updated last year
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆58Updated 11 months ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆31Updated last year
• cunningham-lab / cb_and_cc
  ☆36Updated 2 years ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆48Updated 2 years ago
• andresantoro / RHOSTS
  Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)
  ☆41Updated 5 months ago
• mutualinfo / mutual_info
  Putting GaelVaroquaux's mutual_info gist in a project until it has a better home.
  ☆30Updated 9 months ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆117Updated last month
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 4 years ago
• pierreablin / picard
  Preconditioned ICA for Real Data
  ☆108Updated 4 months ago
• kuffmode / msa
  Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
  ☆18Updated 9 months ago
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆86Updated last year
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆52Updated 2 years ago
• BGU-CS-VIL / dtan
  Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…
  ☆66Updated 4 months ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆72Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆62Updated 2 months ago