Alternatives and similar repositories for bdot

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

• waylonflinn / bvec
  Fast Vector Operations on Pretty Big Data
  ☆13Updated 10 years ago
• datacratic / jml
  Jeremy's Machine Learning Library
  ☆32Updated 8 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 11 years ago
• lateral / hyperplane-hasher
  Implementation of an algorithm computing the nearest "N" neighbours to a vector, using a collection of hyperplane hashers.
  ☆30Updated 10 years ago
• stitchfix / Algorithms-Notebooks
  Algorithm's team Jupyter Notebooks
  ☆113Updated 8 months ago
• waylonflinn / bneighbors
  Nearest Neighbor Search in High Dimensional Spaces
  ☆13Updated 10 years ago
• andrewclegg / sketchy
  Simple approximate-nearest-neighbours in Python using locality sensitive hashing.
  ☆142Updated 13 years ago
• echen / minifolds
  ggplot2-inspired d3 app to make instant interactive visualizations
  ☆55Updated 13 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 10 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆27Updated 10 years ago
• commonsense / divisi2
  A Python library for learning from dimensionality reduction, supporting sparse and dense matrices.
  ☆78Updated 8 years ago
• ericchiang / cloudy-tweets
  Machine Learning solution for Kaggle.com's "Partly Sunny with a Chance of Hashtags"
  ☆27Updated 12 years ago
• ContinuumIO / topik
  A Topic Modeling toolbox
  ☆92Updated 9 years ago
• keplr-io / picard
  Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
  ☆52Updated 9 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 6 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated last year
• enigma-io / s3plz
  A polite, minimal interface for sending python objects to and from Amazon S3.
  ☆57Updated 9 years ago
• edouardklein / Outsmart
  ☆20Updated 10 years ago
• mharradon / LowRankPropagation
  Propagation Technique for Solving Low Rank Matrix Completion
  ☆37Updated 8 years ago
• probcomp / crosscat
  A domain-general, Bayesian method for analyzing high-dimensional data tables
  ☆328Updated last year
• forcedotcom / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆33Updated last year
• nteract / sidecar
  Little side display of Jupyter kernel rich output
  ☆90Updated 8 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆67Updated 10 years ago
• eyadsibai / brute-force-plotter
  Tool to visualize data quickly with no brain usage for plot creation
  ☆47Updated 3 months ago
• felixlaumon / docker-deeplearning
  For running deep neural net experiment on AWS EC2 GPU instance with Docker and Docker machine
  ☆57Updated 10 years ago
• maxcw / time-maps
  PDF and python files for creating time maps and downloading tweets
  ☆59Updated 5 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 9 years ago