Alternatives and similar repositories for ml-simulations

Users that are interested in ml-simulations are comparing it to the libraries listed below

• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆45Updated 10 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆75Updated 12 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• szilard / ML-scoring
  Compare the scoring speed of several open source machine learning libraries.
  ☆20Updated 8 years ago
• WLOGSolutions / retail-segmentation-based-marketing-campaing-in-r-and-h2o
  Showcase for using H2O and R for scoring for marketing campaign in retail
  ☆54Updated 6 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• paulhendricks / gym-R
  An R package providing access to the OpenAI Gym API
  ☆21Updated 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
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 8 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• ModelOriented / auditor
  Model verification, validation, and error analysis
  ☆58Updated last year
• trestletech / Sermon-Sentiment-Analysis
  Code used to compare sentiments of various sermons
  ☆24Updated 13 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 3 months ago
• hadley / vis-eda
  Visualisation for EDA
  ☆32Updated 8 years ago
• robjhyndman / ForecastingWorkshop
  Slides for 3-day forecasting workshop
  ☆19Updated 6 years ago
• trinker / stansent
  ☆16Updated 3 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• xsankar / deepLearnR
  R interface to Tensorflow via skflow
  ☆18Updated 9 years ago
• tonyfischetti / bayesian-regularization
  A demonstration of Bayesian approaches to linear model regularization
  ☆17Updated 8 years ago
• szilard / teach-ML-CEU-master-bizanalytics
  Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
  ☆21Updated 6 years ago
• bsouhaib / tsexplore
  Time Series Feature Extraction and Visualization
  ☆10Updated 8 years ago
• ucb-introstat / introstat-spring-2017
  Course materials for Stat 20 and Stat 131A, Spring 2017, at UC Berkeley
  ☆17Updated 8 years ago
• szilard / kaggle-scripts-R-pydata
  Kaggle scripts: R vs pydata + most popular R and Python packages for Machine Learning
  ☆11Updated 8 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• zygmuntz / r-libsvm-format-read-write
  R code for reading and writing files in libsvm format
  ☆14Updated 10 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• mine-cetinkaya-rundel / ds-ed-enar2018
  Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018
  ☆20Updated 7 years ago