Alternatives and similar repositories for gp-time-freq

Users that are interested in gp-time-freq are comparing it to the libraries listed below

• wil-j-wil / unifying-prob-time-freq
  Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.
  ☆19Updated 6 years ago
• ssfrr / MeasureIR.jl
  Impulse Measurement Tools for Julia
  ☆12Updated 5 years ago
• AaltoML / nonstationary-audio-gp
  End-to-End Probabilistic Inference for Nonstationary Audio Analysis
  ☆12Updated 6 years ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆102Updated 2 years ago
• dwromero / wavelet_networks
  Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…
  ☆83Updated last year
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆28Updated 7 years ago
• wesselb / NeuralProcesses.jl
  A framework for composing Neural Processes in Julia
  ☆76Updated 4 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 5 years ago
• pierreablin / qndiag
  Quasi-Newton algorithm for joint-diagonalization
  ☆33Updated 3 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago
• glouppe / flowing-with-jax
  ☆15Updated 4 years ago
• spdes / chirpgp
  Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes
  ☆13Updated last year
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• hegdepashupati / differential-dgp
  Implementation of stochastic variational inference for differentially deep gaussian processes
  ☆15Updated 7 years ago
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆24Updated 6 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• jgorham / SteinDiscrepancy.jl
  Practical tools for quantifying how well a sample approximates a target distribution
  ☆28Updated 5 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆45Updated 5 years ago
• pyprob / ppx
  Probabilistic Programming eXecution protocol (PPX)
  ☆76Updated 3 years ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 5 years ago
• SymJAX / SymJAX
  Documentation:
  ☆125Updated 2 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• robsalomone / Deep-Probabilistic-Models-Course
  Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021
  ☆11Updated 3 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 7 years ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated last year
• rflamary / OST
  Optimal Spectral Transportation : audio musical unmixing using optimal transport
  ☆23Updated 7 months ago
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 5 years ago
• earthspecies / spectral_hyperresolution
  ☆23Updated 4 years ago