Code and slides from a 2016 talk at the Cambridge UK RUG
☆16Feb 22, 2017Updated 9 years ago
Alternatives and similar repositories for Optimization-Methods-for-Tuning-Predictive-Models
Users that are interested in Optimization-Methods-for-Tuning-Predictive-Models are comparing it to the libraries listed below
Sorting:
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Jun 27, 2016Updated 9 years ago
- The mlr package online tutorial☆20Jul 20, 2018Updated 7 years ago
- BUS 41204: Machine Learning -- Winter 2016☆11Mar 3, 2017Updated 8 years ago
- a greta extension for generalised additive modelling using mgcv☆11Jan 14, 2025Updated last year
- An R package for tidyverse-friendly causal inference☆10Aug 2, 2019Updated 6 years ago
- SGD/ADAM/Amsgrad/AdamW/RAdam/Lookahead☆10Nov 18, 2019Updated 6 years ago
- Collection of articles for the Machine Learning Journal Club☆11Mar 4, 2020Updated 5 years ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Aug 8, 2019Updated 6 years ago
- code from the s/t book which goal is to gather in a single document the most relevant concepts related to modern optimization methods or …☆25Dec 30, 2014Updated 11 years ago
- An R package providing access to the OpenAI Gym API☆21Jul 1, 2017Updated 8 years ago
- wsrf: Weighted Subspace Random Forest for Classification☆14Feb 22, 2026Updated last week
- R package for weighted model metrics☆11Apr 12, 2025Updated 10 months ago
- MATLAB MEX implementation of SVRG-SBB algorithms☆12Nov 28, 2017Updated 8 years ago
- Easy parallel programming in R -- Work in progress!☆12Jun 11, 2020Updated 5 years ago
- ☆12Jan 31, 2026Updated last month
- RapiDoc UI integration for R☆14Nov 17, 2023Updated 2 years ago
- Sparse and Regularized Discriminant Analysis in R☆14Nov 15, 2020Updated 5 years ago
- DBI GDAL☆17Sep 22, 2020Updated 5 years ago
- RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)☆27Jan 29, 2026Updated last month
- ☆14Jun 11, 2018Updated 7 years ago
- 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions☆13Jul 21, 2024Updated last year
- Library for integrated use of H2O with Hyperopt☆13Apr 8, 2024Updated last year
- Amazon Web Services Bundle Package☆15Jan 12, 2020Updated 6 years ago
- Introduction to Python (2014)☆11May 11, 2015Updated 10 years ago
- An R Shiny module to put swiping interfaces in your app!☆13Mar 29, 2017Updated 8 years ago
- Modelling Airbnb prices in London using different Machine Learning models (Random Forest, Gradient Boosting, Neural Network)☆10Feb 5, 2019Updated 7 years ago
- Details on DBI backends☆18Mar 2, 2025Updated 11 months ago
- Materials for the PyData San Francisco 2016 visualization tutorial☆14Dec 24, 2016Updated 9 years ago
- Store, append, read large lists in R without loading whole data into memory.☆14Apr 18, 2017Updated 8 years ago
- ☆36Dec 17, 2019Updated 6 years ago
- ☆15Feb 5, 2020Updated 6 years ago
- Canonical Correlation Forest☆17Mar 13, 2022Updated 3 years ago
- Some of my experiments targeting adversarial instances☆12May 7, 2017Updated 8 years ago
- Implementation of the Anchors algorithm: Explain black-box ML models☆15Nov 21, 2019Updated 6 years ago
- Tutorial on Bayesian optimization in R☆15Apr 28, 2022Updated 3 years ago
- Generative Adversial Network Example☆15Dec 1, 2018Updated 7 years ago
- EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution☆17Sep 8, 2024Updated last year
- ☆15Oct 21, 2020Updated 5 years ago
- Fast methods for multivariate normal distributions☆37Jun 26, 2023Updated 2 years ago