Alternatives and similar repositories for machine-learning-examples:

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

• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• robertnishihara / gess
  An MCMC algorithm for sampling continuous probability distributions in parallel
  ☆19Updated 10 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆17Updated 8 years ago
• rsnemmen / parallel-python-tutorial
  Parallel Computing with Python
  ☆29Updated last year
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• sgubianpm / sdaopt
  Simulated Dual Annealing for python and benchmarks
  ☆15Updated 6 years ago
• lbkchen / deep-learning
  Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…
  ☆36Updated 8 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• wildtreetech / bayesian-optimisation
  Finding the best parameters for any algorithm
  ☆42Updated 7 years ago
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 6 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• ThomasBrouwer / BMF_Priors
  Python code for "Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small Datasets".
  ☆9Updated 6 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 4 years ago
• JulienSiems / TensorFlow-Autoencoders
  Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
  ☆29Updated 8 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 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
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆46Updated 5 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• larsmans / pylbfgs
  Python/Cython wrapper for liblbfgs
  ☆44Updated 6 years ago
• hadsed / PyGPML
  Gaussian process regression code.
  ☆24Updated 10 years ago
• sebp / scikit-learn-mpi-grid-search
  Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.
  ☆42Updated 9 years ago
• binarybana / samcnet
  Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.
  ☆16Updated 10 years ago
• aatapa / RLScore
  ☆67Updated last year
• jameshensman / VFF
  Variational Fourier Features
  ☆84Updated 3 years ago