Alternatives and similar repositories for probabilistic-machine-learning

Users that are interested in probabilistic-machine-learning are comparing it to the libraries listed below

• tapios / RegEM
  Regularized expectation maximization algorithm (Matlab code)
  ☆27Updated 8 years ago
• tormii / HST
  Horizontal Synchrosqueezing Transform: Algorithm and Applications
  ☆14Updated 5 years ago
• guoliu / optimizer
  MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling av…
  ☆36Updated 10 years ago
• keurfonluu / StochANNPy
  StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic …
  ☆8Updated 7 years ago
• keurfonluu / stochopy
  Python library for stochastic numerical optimization
  ☆97Updated 2 years ago
• mjlaine / mcmcstat
  MCMC toolbox for Matlab
  ☆93Updated 3 years ago
• Sable / mcbench-benchmarks
  Repo containing a copy of mcbench benchmarks
  ☆112Updated 6 years ago
• prmiles / pymcmcstat
  Python implementation of MATLAB toolbox "mcmcstat"
  ☆71Updated 2 years ago
• msahamed / earthquake_physics_bayesian_nn
  Predict earthquake rupture probability with bayesian deep learning
  ☆15Updated 5 years ago
• phamduonghung / FSSTn
  High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis
  ☆32Updated 5 years ago
• mukeshramancha / transitional-mcmc
  This repo contains the code of Transitional Markov chain Monte Carlo algorithm
  ☆18Updated 2 years ago
• IPGP / machine_learning_scripts
  ☆24Updated 8 years ago
• markveillette / stbl
  MATLAB library for working with alpha stable distributions
  ☆29Updated 10 years ago
• Kogl1n / Ensemble-Kalman-Filter
  EnKF in Matlab for a system of two PDEs modeling burglar behavior (model of Short et al.)
  ☆12Updated 7 years ago
• zhaoxrthu / rjMCMC
  基于可逆跳马尔科夫过程蒙特卡洛方法，完成RBF模型选择问题，实现对非线性数据的回归分析
  ☆15Updated 7 years ago
• NoiseLabUCSD / saga5.5
  Seismo Acoustic inversion using Genetic Algorithms
  ☆13Updated last year
• Acicone / ALIF
  Adaptive Local Iterative Filtering
  ☆14Updated 5 years ago
• aganse / InvGN
  Calculate Tikhonov-regularized, Gauss-Newton nonlinear iterated inversion to solve the damped nonlinear least squares problem (Matlab cod…
  ☆23Updated 9 years ago
• HaizhaoYang / SST_compare
  A comparison of serveral localized time-frequency transforms
  ☆33Updated 9 years ago
• duqbo / varpro2
  A MATLAB implementation of a variable projection algorithm for nonlinear least squares problems
  ☆15Updated 6 years ago
• Adolphus8 / Bayesian-Model-Updating-Tutorials
  Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems
  ☆18Updated 11 months ago
• judithyueli / DASoftware
  Matlab library of data assimilation methods
  ☆18Updated 9 years ago
• brianborchers / PEIP
  MATLAB code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems
  ☆102Updated 3 years ago
• njchiang / tikhonov
  code for L2 regularization of arbitrary Tikhonov matrices
  ☆14Updated 7 years ago
• SALib / SATut
  Tutorials for Sensitivity Analysis using SALib
  ☆34Updated 3 months ago
• Apress / practical-matlab-deep-learning-2e
  Source Code for 'Practical MATLAB Deep Learning, 2nd Edition'
  ☆11Updated 2 years ago
• cossan-working-group / BayesianModelUpdating
  Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems
  ☆36Updated last year
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆119Updated this week
• resfahani / SparseTFR
  Sparse Time-Frequency representation (Sparse STFT, and Sparse Stockwell transfrom)
  ☆14Updated 2 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆92Updated last week