Alternatives and similar repositories for Topological-Anomaly-Detection:

Users that are interested in Topological-Anomaly-Detection are comparing it to the libraries listed below

• allentran / graph2vec
  Theano implementation of GloVe for graphs
  ☆46Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• patvarilly / CoverTree
  Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
  ☆33Updated 13 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• zygmuntz / dimensionality-reduction-for-sparse-binary-data
  convert a lot of zeros and ones to fewer real numbers
  ☆23Updated 10 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• davidadamsphd / spark-vs-dataflow
  Demo code contrasting Google Dataflow (Apache Beam) with Apache Spark
  ☆14Updated 8 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 9 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 4 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆50Updated last year
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 8 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• lukasvermeer / bootstrapbandits
  Based on Thompson sampling with the online bootstrap (Dean Eckles, Maurits Kaptein). http://arxiv.org/abs/1410.4009
  ☆11Updated 10 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• pg2455 / U.S-Presidential-Speeches
  Textual Analysis of speeches using Google's Word2Vec Model
  ☆31Updated 4 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 10 years ago
• grfiv / healthcare_twitter_analysis
  Healthcare Twitter Analysis
  ☆26Updated 8 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• zygmuntz / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆44Updated 10 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 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
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated 11 months ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 7 years ago
• djsutherland / py-sdm
  Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.
  ☆48Updated 8 years ago