[mikeskim]

I wish academics would publish pure python implementations of their "new" algorithms. Standard python with Pypy is enough for speed of development and runtime.

The biggest thing about t-SNE is that it's been used in competitive machine learning for quite a long time successfully by many different people because it's on R via CRAN and Python via sklearn. LargeVis has potential, but it could also be not so useful like the vast majority of academic work.

[visarga]

After a paper like this comes out, usually someone adds it to their library or makes a public implementation of it. Usually there are more than one. Maybe the authors aren't the best at implementing a clean version of it.

[zo1]

Any version is better than none. Even if it is just a basic/crude reference implementation that library-authors can use to add the algorithm/functionality to their library.