Alternatives and similar repositories for S3M

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

• shivin9 / CAC
  A Clustering Based Classification Algorithm
  ☆28Updated 3 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• cair / fast-tsetlin-machine-in-cuda-with-imdb-demo
  A CUDA implementation of the Tsetlin Machine based on bitwise operators
  ☆26Updated 5 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• 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
• cair / open-tsetlin-machine
  Open Source Tsetlin Machine framework
  ☆17Updated 6 years ago
• szairis / sakmapper
  Implementation of Mapper Algorithm
  ☆14Updated 8 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last year
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• unisb-bioinf / causaltrail
  CausalTrail - a tool for performing causal reasoning using the do-calculus
  ☆12Updated 3 years ago
• kpoeppel / pytorch_probgraph
  A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
  ☆49Updated 4 years ago
• lileicc / dynammo
  Linear dynamical systems (aka Kalman filters)
  ☆21Updated 4 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 8 years ago
• mgckind / imax
  A large-image collection explorer and fast classification tool
  ☆24Updated 2 years ago
• NoRaincheck / TreeGrad
  ☆21Updated 5 years ago
• jsyoon0823 / Clairvoyance
  Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"
  ☆13Updated 4 years ago
• visdesignlab / graffinity
  Graffinity: Visualizing Connectivity in Large Graphs
  ☆28Updated 3 years ago
• datacratic / jml
  Jeremy's Machine Learning Library
  ☆32Updated 7 years ago
• theSage21 / lorentz-embeddings
  Embed arbitrary graphs in Hyperbolic space
  ☆74Updated 3 years ago
• aqibsaeed / Entity-Embedding-with-LSTM-for-Time-Series
  Entity Embedding with LSTM for Time Series
  ☆30Updated 4 years ago
• astanway / crucible
  Anomaly detection training suite
  ☆119Updated 9 years ago
• stanford-futuredata / ASAP
  ASAP: Prioritizing Attention via Time Series Smoothing
  ☆193Updated 7 years ago
• j2kun / mwua
  Python code implementing the MWUA algorithm and a Linear Program solver
  ☆34Updated last year
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• CarsonScott / HSOM
  Hierarchical self-organizing maps for unsupervised pattern recognition
  ☆61Updated 5 years ago
• lmcinnes / umap_paper_notebooks
  Notebooks in support of the UMAP paper
  ☆44Updated 3 years ago
• snap-stanford / masa
  Motif-Aware State Assignment in Noisy Time Series Data
  ☆23Updated 4 years ago
• gevaertlab / DAPL
  Autoencoder network for imputing missing values
  ☆27Updated 6 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆54Updated 4 months ago