pytorch / live
PyTorch Live is an easy to use library of tools for creating on-device ML demos on Android and iOS. With Live, you can build a working mobile ML prototype in minutes.
Summary
         |
|||
| Main Code: 17,776 LOC (298 files) = TSX (25%) + JAVA (22%) + TS (20%) + SWIFT (15%) + JS (6%) + CSS (4%) + M (2%) + MM (1%) + H (<1%) + CPP (<1%) Secondary code: Test: 838 LOC (17); Generated: 0 LOC (0); Build & Deploy: 915 LOC (15); Other: 10,942 LOC (181); |
|||
| Duplication: 15% | |||
| File Size: 0% long (>1000 LOC), 69% short (<= 200 LOC) | |||
| Unit Size: 1% long (>100 LOC), 56% short (<= 10 LOC) | |||
| Conditional Complexity: 1% complex (McCabe index > 50), 82% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (15 components) | ||
|
|
8 months old
|
||
|
|
0% 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
1 file |
|||
Latest commit date: 2022-01-21
|
15
commits
(30 days)
8
contributors
(30 days) |
|