microsoft / MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Summary

	PROTO CFG
		Main Code: 17,373 LOC (121 files) = PY (88%) + JS (4%) + TSX (2%) + CSS (2%) + PROTO (<1%) + TS (<1%) + HTML (<1%) + CFG (<1%) + YML (<1%) Secondary code: Test: 2,070 LOC (36); Generated: 0 LOC (0); Build & Deploy: 20 LOC (1); Other: 7,156 LOC (78);
		Duplication: 17%
		File Size: 0% long (>1000 LOC), 26% short (<= 200 LOC)
		Unit Size: 4% long (>100 LOC), 57% short (<= 10 LOC)
		Conditional Complexity: 4% complex (McCabe index > 50), 66% simple (McCabe index <= 5)
		Logical Component Decomposition: primary (23 components)
		4 years, 5 months old 100% of code older than 365 days 100% of code not updated in the past 365 days
		7% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits.
		Goals: Keep the system simple and easy to change (4)
	Features of interest: TODOs 13 files

Commits Trend

Latest commit date: 2020-08-14

0 commits (30 days) 0 contributors (30 days)

Commits 33 46 861 119 Contributors 8 16 65 11 2020 2019 2018 2017

show commits trend per language

Commits	2022 2021 2020 2019 2018 2017 28 41 741 82 py 9 13 js 2 tsx 8 3 css proto 1 1 proto 2 ts 13 9 html cfg 1 cfg 3 2 13 yml
Contributors	2022 2021 2020 2019 2018 2017 8 15 45 8 py 6 3 js 2 tsx 5 2 css proto 1 1 proto 2 ts 6 3 html cfg 1 cfg 1 2 4 yml