Machine Learning frameworks, libraries and software
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Submission timeline
2007–2026One slot for every year since HN launched. Height is that year's peak points; orange marks a 100+ point or 50+ comment breakout. Select a bar to open its strongest thread.
First comments on top threads
HN comment orderThe R portion needs some serious filling - for starters: you include the Julia wrapper to glmnet, which was originally implemented in R. glmnet - lasso/ridge/elastic net glm models. e1071 - SVM classifiers. randomForest - random forest classifiers. mixOmics - a good collection of component-based approaches (PCA, ICA, PLS, etc. includes sparse variants of all of the above is feature selection is required). caret - similar to Java's Weka.
For those of you wondering about the "awesome list" phenomenon (as I was). It is a git repository that is marked as being a curated list of awesome things. Here is a manifesto: https://github.com/sindresorhus/awesome/blob/master/awesome.... Edit: Don't know if any other infrastructure has sprung up around it. Maybe an awesome list of awesome tools?
The first top-level comment from each of the four biggest threads, in HN’s own order. Excerpts are shortened; open a comment for full context.
- Breakout years
- 2
- Total points
- 292
- Total comments
- 45
100+ points or 50+ comments
reference only — not used in Hall rules or ranking
reference only — not used in Hall rules or ranking
Every submission
| Date | Title as submitted | By | Points | Comments |
|---|---|---|---|---|
| 2014-07-16 | Machine Learning frameworks, libraries and softwareFirst breakout · Best thread | misiti3780 | 163 | 35 |
| 2015-03-28 | Awesome Machine Learning | jestinjoy1 | 1 | 0 |
| 2016-02-04 | Awesome machine learningLatest 20+ point return | nrooot | 122 | 10 |
| 2017-06-04 | A curated list of awesome Machine Learning frameworks, libraries and software | superasn | 4 | 0 |
| 2018-06-05 | A curated list of awesome Machine Learning frameworks, libraries and software | kumaranvpl | 1 | 0 |
| 2018-08-06 | Awesome Machine Learning: A Curated List of Machine Learning Libraries | gk1 | 1 | 0 |