Alternatives
Products that do what Deploy Scikit and Keras Models with a Simple Drag and Drop does
- 1DM
2021 · github.com
- 2AC
2021 · github.com
- 3DA
2016 · getalkanet.com
- 4MZ
2020 · modelzoo.dev
- 5GJ
2012 · gridster.net
- 6IR
2016 · github.com
- 7TE
2021 · inferrd.com
- 8VA
2014 · pypi.python.org
- 9

- 10DM
2019 · deploymachinelearning.com
- 11

- 12SB
2012 · visimojo.com
- 13

- 14DA
2019 · builder.io
- 15CI
2021 · convect.ml
- 16AR
2018 · github.com
- 17AR
2016 · tryhera.com
- 18IM
Heya HN, after spending +1 year building an ML-driven analytics product (that didn't pan out unfortunately), I've pivoted to solving a problem my team and I found while building the previous product … why the hell is it so hard to move a model from a Jupyter notebook, to a development server, then to a production pipeline!? To solve this my team and I started the open source KitOps project under the Apache 2 license. KitOps includes the Kit CLI that uses a Kitfile manifest to create ModelKits: 1. The kit CLI packages your model, datasets, code, and configuration into an OCI compliant…
2024 · kitops.ml
- 19CO
2020 · github.com
- 20AE
2019 · unubo.com
- 21MH
2017 · moebius.io
- 22

- 23KA
2019 · ki-labs.com
- 24AS
2012 · github.com
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