Alternatives and similar repositories for umap_paper_notebooks

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

• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• BayesForDays / nontology
  Matrix tools for building and inspecting latent spaces
  ☆27Updated 6 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 5 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• datamicroscopes / irm
  Infinite relational model (IRM) for datamicroscopes
  ☆14Updated 9 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 8 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 3 weeks ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆24Updated 10 years ago
• zygmuntz / dimensionality-reduction-for-sparse-binary-data
  convert a lot of zeros and ones to fewer real numbers
  ☆23Updated 11 years ago
• chagaz / sfan
  Selecting features as (network) nodes
  ☆11Updated 7 years ago
• chyikwei / bnp
  Bayesian nonparametric models for python
  ☆18Updated 6 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 10 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• gregversteeg / LinearSieve
  The Linear Information Sieve
  ☆16Updated 7 years ago
• fabianp / DSOML_2017
  ☆12Updated 8 years ago
• hohsiangwu / kdd-2018-hands-on-tutorials
  KDD Hands-On Tutorial (2018)
  ☆29Updated 2 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• maciejkula / binge
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆21Updated 7 years ago
• allenai / brat
  brat rapid annotation tool (brat) - for all your textual annotation needs
  ☆10Updated 7 years ago
• kousun12 / tf_hyperbolic
  Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow
  ☆55Updated 6 years ago
• renaud / hdp-faster
  Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang
  ☆18Updated 11 years ago
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• lmcinnes / enstop
  Ensemble topic modelling with pLSA
  ☆115Updated 3 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated 2 years ago
• RaRe-Technologies / talks
  Presentations & notebooks from our talks /workshops/meetups/etc
  ☆24Updated 7 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆42Updated 3 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago