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DMLC Minerva

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Analyzed 1 day ago. based on code collected 1 day ago.

Project Summary

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

Tags

ann c++ cpu deep_learning gpu machine_learning multi-gpu ndarray neural_networks numpy python

In a Nutshell, DMLC Minerva...

...
has had 1,307 commits made by 18 contributors
representing 185,191 lines of code
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is mostly written in C++
with a well-commented source code
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has a young, but established codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 47 years of effort (COCOMO model)
starting with its first commit in March, 2014
ending with its most recent commit over 10 years ago

Quick Reference

Code Locations:

https://github.com/dmlc/minerva

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Licenses

Apache License 2.0

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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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Code

Lines of Code

Activity

Commits per Month

Community

Contributors per Month

Languages

C++	54%
Autoconf	23%
shell script	12%
9 Other	11%

30 Day Summary

Nov 14 2025 — Dec 14 2025

0 Commits
0 Contributors

12 Month Summary

Dec 14 2024 — Dec 14 2025

0 Commits
0 Contributors

Most Recent Contributors

	Yutian Li		Minjie Wang
	sneakerkg		hjk41
	Cheng CHEN		Tianjun Xiao

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