akopich / spark-gp

Related projects ⓘ

Alternatives and complementary repositories for spark-gp

• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆25Updated 4 years ago
• jg-you / dyvider
  Dynamic programming algorithms for exact linear clustering in networks.
  ☆16Updated last year
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆27Updated 8 years ago
• mkocaoglu / Entropic-Causality
  ☆10Updated 8 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆10Updated 4 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 3 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆26Updated 3 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated last year
• VincentRouvreau / GUDHI_presentation-NIPS_2017
  PDF and notebooks of GUDHI presentation @ NIPS 2017
  ☆14Updated 6 years ago
• mgraffg / EvoDAG
  Evolving Directed Acyclic Graph
  ☆31Updated last year
• ndcroos / awesome-topological-data-analysis
  A collection of topological data analysis links, frameworks, libraries and software. Inspired by awesome projects line.
  ☆18Updated 3 months ago
• snap-stanford / masa
  Motif-Aware State Assignment in Noisy Time Series Data
  ☆24Updated 4 years ago
• ekochmar / cl-datasci-pnp
  Data Science: Principles and Practice, 2019-20
  ☆11Updated 4 years ago
• meelgroup / MLIC
  A new framework to generate interpretable classification rules
  ☆17Updated last year
• ferencberes / online-centrality
  Temporal Walk Based Centrality Metric for Graph Streams
  ☆14Updated last year
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆24Updated last year
• giotto-ai / tutorial_mapper
  ☆13Updated 4 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• pslii / datasmash
  Data Smashing
  ☆14Updated 10 years ago
• GemsLab / node2bits
  Compact time- and attribute-aware node representations
  ☆6Updated 4 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• automl / george
  Fast Gaussian Processes for regression
  ☆11Updated 5 years ago
• jakirkham / dask-distance
  Distance computations with Dask (akin to scipy.spatial.distance)
  ☆8Updated 6 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 3 months ago
• benfulcher / TimeSeriesGeneration
  Generating time series from a range of dynamical systems
  ☆17Updated 2 years ago
• fated / libcp
  LibCP -- A Library for Conformal Prediction
  ☆11Updated 9 years ago
• fairscape / hctsa-py
  ☆13Updated 3 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago