Alternatives and similar repositories for FlexCode:

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

• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆41Updated 3 years ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 4 months ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆115Updated this week
• lee-group-cmu / DeepCDE
  Neural networks for conditional density estimation
  ☆12Updated 4 years ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆137Updated this week
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆100Updated last year
• TyXe-BDL / TyXe
  ☆149Updated 2 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆124Updated 4 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• markvdw / RobustGP
  Robust initialisation of inducing points in sparse variational GP regression models.
  ☆33Updated 2 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆199Updated 2 months ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆165Updated 3 months ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆62Updated last month
• yaglm / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆55Updated 2 years ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆96Updated this week
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆30Updated last month
• pymc-devs / pymc-bart
  ☆102Updated this week
• scikit-hep / resample
  Randomization-based inference in Python
  ☆78Updated last week
• eth-cscs / abcpy
  ABCpy package
  ☆113Updated 9 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated last year
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 3 months ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆168Updated 10 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆222Updated 2 months ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆41Updated 6 months ago
• stan-dev / posteriordb-python
  ☆21Updated 4 months ago
• juangamella / causal-chamber
  Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…
  ☆24Updated 3 weeks ago
• ImperialCollegeLondon / csml-reading-group
  Computational statistics and machine learning reading group at Imperial College London (2019-2020)
  ☆24Updated last week
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆147Updated 5 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆70Updated 6 months ago
• bips-hb / arfpy
  Python implementation of adversarial random forests for density estimation and generative modelling
  ☆25Updated 11 months ago