Alternatives and similar repositories for S3M

Users that are interested in S3M are comparing it to the libraries listed below

• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 10 years ago
• shivin9 / CAC
  A Clustering Based Classification Algorithm
  ☆28Updated 4 years ago
• CIRCL / douglas-quaid
  Open source software for image correlation, distance and analysis
  ☆61Updated 2 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• HazyResearch / epoxy
  Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings
  ☆77Updated 3 years ago
• stanford-futuredata / ASAP
  ASAP: Prioritizing Attention via Time Series Smoothing
  ☆195Updated 7 years ago
• hottbox / hottbox
  HOTTBOX: Higher Order Tensors ToolBOX.
  ☆171Updated 5 years ago
• lmcinnes / umap_paper_notebooks
  Notebooks in support of the UMAP paper
  ☆44Updated 4 years ago
• kummahiih / pypareto
  Sorting chains for pareto frontier extraction
  ☆32Updated 6 months ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 5 months ago
• getcrest / AutoOut
  Automated Outlier Detection and Treatment Tool
  ☆102Updated 3 years ago
• marmarelis / rolling-quantiles
  Blazing fast, composable, Pythonic quantile filters.
  ☆136Updated 2 years ago
• aqibsaeed / Entity-Embedding-with-LSTM-for-Time-Series
  Entity Embedding with LSTM for Time Series
  ☆31Updated 5 years ago
• dmarx / Topological-Anomaly-Detection
  Topological Anomaly Detection (TAD) per Gartley and Basener 2009
  ☆68Updated 5 years ago
• cair / TextUnderstandingTsetlinMachine
  Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications
  ☆51Updated 6 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 5 years ago
• theSage21 / lorentz-embeddings
  Embed arbitrary graphs in Hyperbolic space
  ☆76Updated 3 years ago
• cair / fast-tsetlin-machine-in-cuda-with-imdb-demo
  A CUDA implementation of the Tsetlin Machine based on bitwise operators
  ☆26Updated 6 years ago
• kootenpv / shrynk
  Using Machine Learning to learn how to Compress
  ☆113Updated 2 years ago
• mgckind / imax
  A large-image collection explorer and fast classification tool
  ☆24Updated 3 years ago
• jetnew / COVID-Resource-Allocation-Simulator
  Agent-based modelling for resource allocation in viral crises to investigate resource allocation and policy interventions with respect to…
  ☆63Updated 5 years ago
• datacratic / jml
  Jeremy's Machine Learning Library
  ☆32Updated 8 years ago
• shapelets / khiva
  An open-source library of algorithms to analyse time series in GPU and CPU.
  ☆239Updated 4 years ago
• alvarouc / polyssifier
  run a multitude of classifiers on you data and get an AUC report
  ☆68Updated last year
• CarsonScott / Online-Category-Learning
  ML algorithm for real-time classification
  ☆72Updated 8 years ago
• kpoeppel / pytorch_probgraph
  A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
  ☆49Updated 5 years ago
• asavinov / lambdo
  Feature engineering and machine learning: together at last!
  ☆25Updated 4 years ago
• pennpolygons / cv-boilerplate
  Open-source boilerplate for computer vision research
  ☆16Updated 5 years ago
• CarsonScott / Competitive-Feature-Learning
  Online feature-extraction and classification algorithm that learns representations of input patterns.
  ☆31Updated 8 years ago
• astanway / crucible
  Anomaly detection training suite
  ☆119Updated 10 years ago