Alternatives and similar repositories for modelvis-talks

Users that are interested in modelvis-talks are comparing it to the libraries listed below

• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• angelabassa / csv-conf-v3
  ☆20Updated 7 years ago
• WinVector / ExploreModels
  Code and data for "The Geometry of Classifiers"
  ☆26Updated 5 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 8 years ago
• ledell / h2oEnsemble-benchmarks
  Benchmarks of the H2O Ensemble R interface (H2O 2.0).
  ☆14Updated 4 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• INFO-474 / m7-d3-intro
  Module 7: Introduction to D3.js
  ☆21Updated 9 years ago
• dmarcous / CRAN_deepboost
  Deepboost R-package for submission
  ☆19Updated 7 years ago
• xsankar / deepLearnR
  R interface to Tensorflow via skflow
  ☆18Updated 9 years ago
• AllenDowney / BayesForUndergrads
  Materials for a workshop on developing undergraduate classes on Bayesian statistics.
  ☆47Updated 9 years ago
• vkrakovna / sbfc
  Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…
  ☆16Updated 3 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆46Updated 10 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆23Updated 9 years ago
• hrbrmstr / scimple
  Tidy Simultaneous Confidence Intervals for Multinomial Proportions
  ☆11Updated 5 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• markajoc / condvis
  Visualisation for statistical models.
  ☆20Updated 7 years ago
• zachmayer / rbm
  Restricted Boltzmann Machines in R
  ☆36Updated 5 years ago
• nanxstats / sdml
  Supervised Distance Metric Learning with R
  ☆20Updated 6 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆76Updated 12 years ago
• amueller / odsc_east_2016
  ☆26Updated 9 years ago
• smc77 / DeepRL
  ☆12Updated 8 years ago
• Vessy / Rmaze
  Maze generators in R
  ☆12Updated 8 years ago
• wildtreetech / advanced-comp-2017
  💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
  ☆23Updated 8 years ago
• mine-cetinkaya-rundel / dss_computing_bootcamp
  Computing and reproducibility bootcamp for Duke StatSci graduate students.
  ☆11Updated 9 years ago
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 11 years ago
• szilard / ML-scoring
  Compare the scoring speed of several open source machine learning libraries.
  ☆20Updated 8 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆52Updated 12 years ago
• nvenkataraman1 / RProgrammingWorkshop
  Materials for the R Programming Workshop that I teach at The University of Chicago
  ☆34Updated 9 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆20Updated last year