mlminer

16 ms·

1. 1.▲
   Deep Pipeline Embeddings for AutoML [video](youtube.com)

   3 points by mlminer 3y ago|1 comments
2. 2.▲
   by mlminer 3y ago

   A powerful approach for AutoML. It can be applied to any type of data, e.g. language, images or tables! Code: https://github.com/releaunifreiburg/DeepPipe Blog Post: https://releaunifreiburg.github.io/d
3. 3.▲
   by mlminer 3y ago

   This idea has a lot of potential, deep learning is normally very abstract. Is there a way to combine this with common libraries like pytorch or tensorflow?
4. 4.▲
   by mlminer 3y ago

   I think so, they apply it to Computer Vision datasets as well
5. 5.▲
   by mlminer 3y ago

   Really nice, it is very useful now with so many new models and datasets for NLP
6. 6.▲
   State-of-the-Art Deep Learning Pipelines Optimization via Vector Embeddings(arxiv.org)

   6 points by mlminer 3y ago|1 comments