Top 3 Dockerfile Machine Learning Projects
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cresset
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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hypercdb
HyperC Planning Database: all-in-one production rules and logistics engine for automatic planning
I have put together a quant research jupyter container, it includes these packages and more. The idea is to have full research/back test environment ready to use.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Dockerfile Machine Learning related posts
Index
What are some of the best open-source Machine Learning projects in Dockerfile? This list will help you:
Project | Stars | |
---|---|---|
1 | cresset | 703 |
2 | jupyter-quant | 43 |
3 | hypercdb | 9 |
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