• modelStudio

  • Referenced in 4 articles [sw30898]
  • modelStudio: Interactive Studio with Explanations for ML Predictive Models. Automate explanation of machine learning predictive...
  • Chiron

  • Referenced in 1 article [sw32566]
  • infrastructure to train predictive models on this data. Existing ML-as-a-service platforms require...
  • EXPATS

  • Referenced in 1 article [sw38107]
  • their interpretability of models and predictions, traditional machine learning (ML) algorithms based on handcrafted features ... need to experiment with a variety of models (including deep and traditional ML ones), features ... learning frameworks such as PyTorch require deep ML expertise to fully utilize. In this paper ... interpret and visualize models and their predictions. We also describe two case studies where...
  • DALEX

  • Referenced in 12 articles [sw26094]
  • ML) models are widely used and have various applications in classification or regression. Models created ... their high performance, but such black-box models usually lack of interpretability. DALEX package contains ... model output. The single_variable() explainer extracts conditional response of a model as a function ... over packages ’pdp’ and ’ALEPlot’. The single_prediction() explainer attributes parts of a model prediction...
  • etasFLP

  • Referenced in 3 articles [sw18148]
  • package etasFLP. Mixed FLP and ML Estimation of ETAS Space-Time Point Processes. Estimation ... components of an ETAS model for earthquake description. Non-parametric background seismicity can be estimated ... through FLP (Forward Likelihood Predictive), while parametric components are estimated through maximum likelihood...
  • AFLOW-ML

  • Referenced in 1 article [sw28752]
  • AFLOW-ML: A RESTful API for machine-learning predictions of materials properties. Machine learning approaches ... analysis. As a result, a plethora of models have been constructed and trained on existing ... consuming experimental synthesis. However, using these predictive models is not always straightforward. Often, they require ... expertise, creating barriers for general users. AFLOW-ML (AFLOW Machine Learning) overcomes the problem...
  • MLitB

  • Referenced in 1 article [sw30254]
  • underlying objectives whose aim is to make ML learning and usage ubiquitous (by using ubiquitous ... algorithms and predictive models with no software installation and by saving models in universally readable ... MLitB offers several important opportunities for novel ML research, including: development of distributed learning algorithms...
  • Coq

  • Referenced in 1828 articles [sw00161]
  • Coq is a formal proof management system. It...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • Matlab

  • Referenced in 12557 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • NLTK

  • Referenced in 32 articles [sw00626]
  • This book offers an introduction to Natural Language...
  • R

  • Referenced in 8776 articles [sw00771]
  • R is a language and environment for statistical...
  • GLIM

  • Referenced in 187 articles [sw01126]
  • GLIM - a system for interactive fitting of generalized...
  • S-PLUS

  • Referenced in 602 articles [sw02892]
  • S-PLUS is a powerful environment for statistical...
  • SAS/IML

  • Referenced in 81 articles [sw03240]
  • The SAS® System provides a powerful and flexible...
  • AS 6

  • Referenced in 8 articles [sw03860]
  • Algorithm AS 6. Triangular decomposition of a symmetric...
  • UCI-ml

  • Referenced in 3127 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...
  • Bioconductor

  • Referenced in 307 articles [sw04205]
  • Bioconductor provides tools for the analysis and comprehension...
  • LINPACK

  • Referenced in 515 articles [sw04209]
  • LINPACK is a collection of Fortran subroutines that...