Alternatives and similar repositories for dicodile

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

• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆115Updated 2 weeks ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated 3 weeks ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆96Updated 2 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 10 months ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 4 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆56Updated 6 years ago
• sylvchev / mdla
  Multivariate Dictionary Learning Algorithm
  ☆26Updated last year
• dedupeio / pylbfgs
  Python/Cython wrapper for liblbfgs
  ☆27Updated last year
• raamana / missingdata
  missing data handing: visualize and impute
  ☆18Updated 6 years ago
• aweinstein / PySGWT
  Spectral Graph Wavelet Transform
  ☆41Updated 6 years ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆235Updated 6 months ago
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆50Updated last year
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆122Updated 2 weeks ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• pierreablin / qndiag
  Quasi-Newton algorithm for joint-diagonalization
  ☆33Updated 3 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆33Updated 3 months ago
• andresantoro / RHOSTS
  Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)
  ☆44Updated last year
• NinelK / CopulaGP
  Copula-GP model
  ☆16Updated 2 years ago
• simomarsili / ndd
  Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm
  ☆51Updated 4 years ago
• benchopt / template_benchmark
  ☆27Updated this week
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆33Updated 2 years ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆72Updated 2 years ago
• 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.
  ☆40Updated 6 months ago
• hichamjanati / spatio-temporal-alignements
  Spatio-temporal alignements: Optimal transport in space and time
  ☆48Updated 7 months ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆72Updated 3 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆20Updated 4 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆26Updated 6 years ago