aws-samples / deep-learning-models
File Change Frequency

File change frequency (churn) shows the distribution of file updates (days with at least one commit).

File Change Frequency Overall
File Change Frequency Overall
The number of recorded file updates
  • There are 286 files with 24,263 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 2 files changed 6-20 times (963 lines of code)
    • 284 files changed 1-5 times (23,300 lines of code)
0% | 0% | 0% | 3% | 96%
Legend:
101+
51-100
21-50
6-20
1-5

Detailed data...

File Change Frequency per File Extension
py, md, sh, json, yaml, txt, yml, ipynb, cfg, gitignore, go
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 4% | 95%
yml0% | 0% | 0% | 0% | 100%
yaml0% | 0% | 0% | 0% | 100%
go0% | 0% | 0% | 0% | 100%
cfg0% | 0% | 0% | 0% | 100%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
models/nlp/albert0% | 0% | 0% | 84% | 15%
models/vision/detection0% | 0% | 0% | 0% | 100%
models/vision/classification0% | 0% | 0% | 0% | 100%
legacy/models/resnet0% | 0% | 0% | 0% | 100%
ci/frcnn0% | 0% | 0% | 0% | 100%
models/nlp/common0% | 0% | 0% | 0% | 100%
legacy/hpc-cluster0% | 0% | 0% | 0% | 100%
legacy/utils/tensorflow0% | 0% | 0% | 0% | 100%
models/nlp/electra0% | 0% | 0% | 0% | 100%
ci/albert0% | 0% | 0% | 0% | 100%
models/nlp/t50% | 0% | 0% | 0% | 100%
models/nlp/cloudformation0% | 0% | 0% | 0% | 100%
legacy/hpc-cluster/monitor0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 20)

See data for all files...

File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
run_pretraining.py
in models/nlp/albert
 510 10 383 641 10
run_squad.py
in models/nlp/albert
 453 10 383 641 7
mini_t5.py
in models/nlp/t5
 85 4 383 517 5
eval_hooks.py
in models/vision/detection/awsdet/core/evaluation
 136 8 526 641 5
faster_rcnn.py
in models/vision/detection/awsdet/models/detectors
 137 3 526 641 5
train.py
in models/vision/detection/tools
 238 5 526 641 5
cfg
setup.cfg
in root
 7 - 595 623 4
two_stage.py
in models/vision/detection/awsdet/models/detectors
 55 4 526 641 4
ec2.yaml
in models/nlp/cloudformation
 91 - 384 622 4
losses.py
in models/vision/detection/awsdet/models/losses
 93 8 526 641 4
bbox_target.py
in models/vision/detection/awsdet/core/bbox
 136 3 526 641 4
arguments.py
in models/nlp/common
 139 4 522 619 4
anchor_target.py
in models/vision/detection/awsdet/core/anchor
 159 5 526 641 4
utils.py
in models/vision/detection/awsdet/datasets
 174 10 526 641 4
rpn_head.py
in models/vision/detection/awsdet/models/anchor_heads
 200 7 526 641 4
bbox_head.py
in models/vision/detection/awsdet/models/bbox_heads
 214 5 526 641 4
runner.py
in models/vision/detection/awsdet/utils/runner
 301 29 526 641 4
run_pretraining.py
in models/nlp/electra
 404 9 384 595 4
__init__.py
in models/vision/detection/awsdet/models/backbones
 5 - 526 641 3
__init__.py
in models/vision/detection/awsdet/models/detectors
 7 - 543 641 3