Alternatives and similar repositories for qndiag

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

• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆95Updated 2 years ago
• EMS-TU-Ilmenau / fastmat
  A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.
  ☆25Updated last year
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆40Updated 5 years ago
• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆114Updated 3 weeks ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆60Updated 8 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 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
• bogeholm / pytisean
  Python wrapper for TISEAN
  ☆30Updated 8 years ago
• mathurinm / andersoncd
  This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…
  ☆18Updated 2 years ago
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 3 years ago
• twgr / ccfs
  Canonical Correlation Forests
  ☆21Updated 7 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated last month
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 9 months ago
• tomMoral / dicodile
  Experiments for "Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals"
  ☆21Updated last month
• IvanYashchuk / fenics-pymc3
  Differentiable interface to FEniCS for PyMC3
  ☆22Updated 2 years ago
• sigma-py / smoothfit
  Smooth data fitting in N dimensions.
  ☆55Updated 2 years ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆42Updated last week
• josemiotto / pylevy
  Levy distributions for Python
  ☆36Updated 2 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆26Updated 6 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• stefanosele / GPfY
  Gaussian processes with spherical harmonic features in JAX
  ☆15Updated 2 months ago
• n-takeishi / bayesiandmd
  Bayesian Dynamic Mode Decomposition (Bayesian DMD)
  ☆18Updated 3 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆117Updated 4 years ago
• scikit-tda / tadasets
  Synthetic data sets apt for Topological Data Analysis
  ☆36Updated this week
• probml / JSL
  Jax SSM Library
  ☆48Updated 2 years ago
• ndexter / MLFA
  Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…
  ☆18Updated 5 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• v0lta / Jax-Wavelet-Toolbox
  Differentiable and gpu enabled fast wavelet transforms in JAX.
  ☆46Updated last year