I've been thinking about the software stack for machine learning. Tools I'd love to see.
1. Pip for pretrained models.
2. Version control for datasets.
3. GPU-friendly CI. Travis CI, Circe CI don't support GPUs. Jenkins is a pain.
4. Fast dataframes. Why is Pandas so slow?
1. Pip for pretrained models.
2. Version control for datasets.
3. GPU-friendly CI. Travis CI, Circe CI don't support GPUs. Jenkins is a pain.
4. Fast dataframes. Why is Pandas so slow?