Alternatives and similar repositories for fnn

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

• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆67Updated 5 months ago
• HHalva / hmnlica
  Code for Hidden Markov Nonlinear ICA
  ☆24Updated 3 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆42Updated 11 months ago
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆187Updated last year
• gatsby-sahani / gp-sde
  ☆14Updated 2 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆48Updated 2 years ago
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆114Updated 2 years ago
• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆94Updated 11 months ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆40Updated 5 years ago
• TyXe-BDL / TyXe
  ☆152Updated 2 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆32Updated 2 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆65Updated 7 years ago
• kormilitzin / the-signature-method-in-machine-learning
  Foundations and Applications
  ☆98Updated 5 years ago
• paulbrodersen / entropy_estimators
  Estimators for the entropy and other information theoretic quantities of continuous distributions
  ☆141Updated last year
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆131Updated 6 months ago
• cc-skuehn / Manifold_Learning
  Worked examples about manifold learning using sklearn and jupyter
  ☆51Updated 6 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆137Updated 4 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated 2 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 9 months ago
• BruntonUWBio / STIMD
  ☆11Updated 7 years ago
• nickc1 / skccm
  Convergent Cross Mapping in Scikit Learn's style
  ☆98Updated 5 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆197Updated 2 years ago
• dokato / dfa
  Detrended Fluctuation Analysis
  ☆63Updated 4 years ago
• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆110Updated 2 weeks ago
• YannDubs / Neural-Process-Family
  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
  ☆223Updated last year
• idelbrid / Randomly-Projected-Additive-GPs
  Code for Randomly Projected Additive Gaussian Processes
  ☆25Updated 5 years ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆89Updated 7 years ago
• datasig-ac-uk / signature_applications
  Example applications of path signatures
  ☆39Updated 3 months ago