Dockerfile Machine Learning

Open-source Dockerfile projects categorized as Machine Learning

Top 3 Dockerfile Machine Learning Projects

  • cresset

    Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

  • jupyter-quant

    A dockerized Jupyter quant research environment.

  • Project mention: How to test optimal parameters | /r/algotrading | 2023-12-09

    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.

  • 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.

    WorkOS logo
  • hypercdb

    HyperC Planning Database: all-in-one production rules and logistics engine for automatic planning

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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