Alternatives and similar repositories for klsh

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

• djsutherland / py-sdm
  Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.
  ☆48Updated 8 years ago
• thierry-silbermann / libfm_python
  ☆10Updated 10 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• amueller / pystruct
  Simple structured learning framework for python
  ☆38Updated 9 years ago
• alextp / pylda
  An implementation of gibbs sampling for Latent Dirichlet Allocation
  ☆30Updated 13 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 11 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 9 years ago
• uhh-lt / chinese-whispers
  Implementation of the Chinese Whispers graph clustering algorithm
  ☆8Updated 7 years ago
• gradientzoo / python-gradientzoo
  Python integration for Gradientzoo - version and share your trained neural network model weights
  ☆12Updated 9 years ago
• open-machine-learning / mloss
  Machine Learning Open Source Software
  ☆23Updated 6 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• Avmb / lowrank-highwaynetwork
  Low-rank Highway Networks
  ☆13Updated 9 years ago
• zygmuntz / sofia-ml-mod
  sofia-kmeans with sparse RBF cluster mapping
  ☆43Updated 10 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated last month
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• hardmaru / cma
  Fork of cma-es library by Nikolaus Hansen
  ☆12Updated 8 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 8 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• EvoML / evolved-forests
  Using GP and metafeatures to grow better forests for prediction.
  ☆10Updated 8 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 9 years ago
• maet3608 / nuts-ml
  Flow-based data pre-processing for deep learning
  ☆31Updated 4 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• gibranfp / Sampled-MinHashing
  A method to mine beyond-pairwise relationships using Min-Hashing for large-scale pattern discovery
  ☆27Updated 3 years ago
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago