1. If you have good results on sufficiently large models (check latest papers re: which benchmarks are still relevant), post them on Github, along will detailed instructions how to reproduce.
2. Post the link to the GH repo in "Show HN" section.
3. If results are solid, write up a paper and upload it to arxiv. Next step would be try to publish in an ML conference.
p.s. To increase your chances of anyone actually clicking on your GH link, use good old Pytorch.
2. Post the link to the GH repo in "Show HN" section.
3. If results are solid, write up a paper and upload it to arxiv. Next step would be try to publish in an ML conference.
p.s. To increase your chances of anyone actually clicking on your GH link, use good old Pytorch.