Alternatives and similar repositories for picard

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

• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆132Updated 3 weeks ago
• raphaelvallat / entropy
  EntroPy: complexity of time-series in Python (DEPRECATED)
  ☆158Updated 4 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• nrdg / fracridge
  Fractional ridge regression
  ☆48Updated 3 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆32Updated 2 years ago
• SachsLab / IntracranialNeurophysDL
  A short course for getting started with deep learning for intracranial extracellular neurophysiology.
  ☆34Updated 3 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆72Updated 3 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• bwbrunton / dmd-neuro
  code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings
  ☆27Updated 9 years ago
• robince / gcmi
  Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
  ☆91Updated 5 years ago
• dokato / dfa
  Detrended Fluctuation Analysis
  ☆64Updated 4 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 6 years ago
• robince / pyentropy
  Information Theoretic Tools for Python
  ☆95Updated 5 years ago
• ContextLab / seqnmf
  An algorithm for unsupervised discovery of sequential structure
  ☆26Updated 7 years ago
• mne-tools / mne-features
  MNE-Features software for extracting features from multivariate time series
  ☆151Updated last year
• circstat / pycircstat
  Toolbox for circular statistics with Python
  ☆164Updated 3 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆50Updated 3 years ago
• darya-chyzhyk / confound_prediction
  Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
  ☆40Updated 5 years ago
• KordingLab / spykesML
  A class for using ML algorithms for spike prediction
  ☆61Updated 7 years ago
• ieeg-portal / ieegpy
  Python API for IEEG.org
  ☆25Updated 5 years ago
• hugorichard / multiviewica
  MultiViewICA: Modeling shared sources
  ☆29Updated 3 years ago
• AllenInstitute / SWDB_2018
  Course materials for the 2018 Summer Workshop on the Dynamic Brain
  ☆22Updated 6 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• nipy / nitime
  Timeseries analysis for neuroscience data
  ☆252Updated 9 months ago
• neurostatslab / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆172Updated last year
• mne-tools / mne-hcp
  MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python
  ☆26Updated last year
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• gallantlab / tikreg
  Tikhonov regression in python
  ☆32Updated last year
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago