Alternatives and similar repositories for gaussian-processes

Users that are interested in gaussian-processes are comparing it to the libraries listed below

• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆38Updated 9 years ago
• minrk / condamagic
  %conda magic for IPython
  ☆28Updated 8 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated 2 years ago
• alexfields / multiisotonic
  Multidimensional isotonic regression
  ☆28Updated 8 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• mlgill / pdLSR
  Pandas-aware non-linear least squares regression using Lmfit
  ☆10Updated 9 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• mrocklin / dask-workshop
  ☆28Updated 8 years ago
• wildtreetech / bayesian-optimisation
  Finding the best parameters for any algorithm
  ☆42Updated 7 years ago
• mims-harvard / fusenet
  Network inference by fusing data from diverse distributions
  ☆14Updated 8 years ago
• tathey1 / autogmm
  ☆10Updated 3 years ago
• elfi-dev / notebooks
  Notebook tutorials
  ☆14Updated 2 years ago
• EpistasisLab / ReBATE
  Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…
  ☆33Updated 7 years ago
• ericmjl / fundl
  A pedagogical, functional-oriented deep learning library built on top of jax.
  ☆15Updated 4 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 4 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 8 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 10 years ago
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated last year
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago