Alternatives and similar repositories for PlasmaML

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

• ognis1205 / spark-tda
  SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.
  ☆46Updated 7 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆35Updated 7 years ago
• pfnet-research / menoh-java
  Building a Deep Neural Network (DNN) application in Java
  ☆11Updated 7 years ago
• artix41 / ALFI-pytorch
  Code for the paper Recurrent Machines for Likelihood-Free Inference
  ☆15Updated 6 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• lyelibi / potts-model-clustering
  Super-Paramagnetic Clustering, Maximum entropy, Maximum Likelihood Methods.
  ☆11Updated 4 years ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated 2 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 8 years ago
• WinVector / AutoDiff
  Example automatic differentiation code in Scala
  ☆31Updated 5 years ago
• gpschool / gpss18
  Gaussian Process and Uncertainty Quantification Summer School 2018
  ☆31Updated 3 years ago
• brandonckelly / CUDAHM
  Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.
  ☆16Updated 8 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 3 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆45Updated 7 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 5 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago
• matt-graham / phd-thesis
  Auxiliary variable Markov chain Monte Carlo methods
  ☆10Updated 8 years ago
• agrippa / spark-swat
  Automatic offload of user-written Spark kernels to accelerators
  ☆18Updated 9 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 5 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆45Updated 5 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 6 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆88Updated last year
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆30Updated last year
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆61Updated 8 years ago
• tailintalent / AI_physicist
  AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)
  ☆34Updated 4 years ago