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by seb_ruder on 2019-10-10 (UTC).

sotabench 🏅🛠—This is a great new service by @paperswithcode!
It enables benchmarking open-source ML models and comparing the results to what was reported in the paper—directly from GitHub repos. Should be a step towards more replicability in ML!https://t.co/5diJXFTFxX pic.twitter.com/j1jn1Tdljt

— Sebastian Ruder (@seb_ruder) October 10, 2019
toolresearch
by PiotrCzapla on 2019-10-10 (UTC).

https://t.co/tbNxduCZNp is something was launched for researchers but it will be a game changer for applied AI. They run models inference on their GPUs so you get a trusted info about:
- Inference time on V100
- The performance vs paper
- How hard is to run the model pic.twitter.com/gzl99VMlHV

— Piotr Czapla (@PiotrCzapla) October 10, 2019
toolresearch

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