Alternatives and similar repositories for knotter:

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

• powerscorinne / GLRM
  ☆98Updated 7 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 9 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated last week
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 5 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 years ago
• prokopevaleksey / TDAforCNN
  Topological Data Analysis on Convolutional Neural Network activations
  ☆12Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• ognis1205 / spark-tda
  SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.
  ☆47Updated 6 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 9 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 8 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆83Updated 3 years ago
• stephenhky / PyTDA
  Topological Data Analysis in Python
  ☆170Updated 6 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 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
• lmcinnes / umap_paper_notebooks
  Notebooks in support of the UMAP paper
  ☆44Updated 3 years ago
• georgedimitriadis / t_sne_bhcuda
  An extension of the barnes-hut t-sne by Laurens van der Maaten using cuda
  ☆26Updated 6 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 4 years ago
• mirkoklukas / tda-mapper-py
  A straightforward implementation of the mapper construction by Carlsson-Memoli-Singh. I wrote a little blog post about it at http://blog.…
  ☆15Updated 9 years ago
• tbroderick / bnp_tutorial
  ☆29Updated 7 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• BayesForDays / nontology
  Matrix tools for building and inspecting latent spaces
  ☆27Updated 6 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 7 years ago