An overview of contributor trends.
Recent Contributors (2)
Committed in past 6 months (a rookie = the first commit in past year)
No contributors in past 30 days.
No contributors in past 31 to 90 days.
Past 91 to 180 days (2):
34553410+ryangillard@users.noreply.github.com
Historical Contributors (7)
Last contributors more than 6 months ago
No commits in past 30 days.
No commits in past 90 days.
2 contributors (2 commits):
| # |
Contributor
|
First
Commit |
Latest
Commit |
Commits
Count |
| 1. |
34553410+ryangillard@users.noreply.github.com |
2025-01-15 |
2025-01-15 |
1 (50%) |
| 2. |
takumiohym@google.com |
2025-01-15 |
2025-01-15 |
1 (50%) |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 180 days.
Contributor Dependencies via Shared Files
- show contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 180 days.
- open 2D force graph
- open 3D force graph
- open 2D force graph (including all files)
- open 2D force graph (including only shared files)
- open 3D force graph (including all files)
- open 3D force graph (including only shared files)
|
Contributor 1 |
Contributor 2 |
# shared files |
| 1. |
34553410+ryangillard@users.noreply.github.com |
takumiohym@google.com |
55 shared files
09_deploying/caip_deploy_regional.sh
09_deploying/README.md
09_deploying/vertex_deploy.sh
10_mlops/10b_explain.ipynb
05_create_dataset/05_split_tfrecord.ipynb
03_image_models/03j_finetune_NASNETLARGE_flowers104.ipynb
04_detect_segment/04ac_retinanet_arthropods_predict.ipynb
03_image_models/03i_fromzero_XCEPTION_flowers104.ipynb
04_detect_segment/04ab_retinanet_arthropods_train.ipynb
09_deploying/09c_changesig.ipynb
07_training/serverlessml/flowers/classifier/train.py
03_image_models/03k_finetune_MOBILENETV2_flowers104.ipynb
07_training/07c_export.ipynb
09_deploying/09d_bytes.ipynb
03_image_models/03g_fromzero_RESNET50_flowers104.ipynb
06_preprocessing/06h_tftransform.ipynb
03_image_models/03a_transfer_learning.ipynb
09_deploying/09a_inmemory.ipynb
03_image_models/03b_finetune_MOBILENETV2_flowers5.ipynb
03_image_models/03d_finetune_VGG19_flowers104.ipynb
09_deploying/09e_tflite.ipynb
02_ml_models/02b_neural_network.ipynb
12_generation/12e_image_captioning.ipynb
02_ml_models/02a_machine_perception.ipynb
03_image_models/03h_finetune_DENSENET201_flowers104.ipynb
03_image_models/03z_ensemble_finetune_flowers104.ipynb
README.md
10_mlops/10a_mlpipeline.ipynb
03_image_models/03c_fromzero_ALEXNET_flowers104.ipynb
03_image_models/03i_finetune_XCEPTION_flowers104.ipynb
06_preprocessing/06f_mixup.ipynb
07_training/07b_gpumax.ipynb
09_deploying/09b_rest.ipynb
06_preprocessing/06g_tiling.ipynb
09_deploying/09f_explain.ipynb
03_image_models/03m_transformer_flowers104.ipynb
03_image_models/03h_fromzero_DENSENET121_flowers104.ipynb
06_preprocessing/06c_reuse_layers.ipynb
03_image_models/flowers.py
06_preprocessing/06b_reuse_functions.ipynb
03_image_models/03l_fromzero_EFFICIENTNETB4_flowers104.ipynb
06_preprocessing/06d_augmentation.ipynb
07_training/07d_distribute.ipynb
11_adv_problems/11c_scann_search.ipynb
03_image_models/03l_finetune_EFFICIENTNETB7_TFHUB_flowers104.ipynb
06_preprocessing/run_dataflow.sh
05_create_dataset/05_label_images.ipynb
06_preprocessing/06e_colordistortion.ipynb
03_image_models/diagrams.ipynb
03_image_models/03g_finetune_RESNET50_flowers104.ipynb
07_training/07a_ingest.ipynb
03_image_models/03e_finetune_INCEPTIONV3_flowers104.ipynb
03_image_models/03f_fromzero_SQUEEZENET24_flowers104.ipynb
03_image_models/03l_finetune_EFFICIENTNETB6_flowers104.ipynb
06_preprocessing/06a_resizing.ipynb
|
Most Connected Contributors
|
Contributor |
# connections |
# commits |
| 1. |
34553410+ryangillard@users.noreply.github.com |
1 |
1 |
| 2. |
takumiohym@google.com |
1 |
1 |
C-median: 1.0
A half of the contributors has more than 1.0 connections, and a half has less than this number.
C-mean: 1.0
An average number of connections a contributor has with other contributors.
C-index: 1.0
There are 1.0 contributors with 1.0 or more connections.
2 contributors (2 commits):
| # |
Contributor
|
First
Commit |
Latest
Commit |
Commits
Count |
| 1. |
34553410+ryangillard@users.noreply.github.com |
2025-01-15 |
2025-01-15 |
1 (50%) |
| 2. |
takumiohym@google.com |
2025-01-15 |
2025-01-15 |
1 (50%) |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 365 days.
Contributor Dependencies via Shared Files
- show contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 365 days.
- open 2D force graph
- open 3D force graph
- open 2D force graph (including all files)
- open 2D force graph (including only shared files)
- open 3D force graph (including all files)
- open 3D force graph (including only shared files)
|
Contributor 1 |
Contributor 2 |
# shared files |
| 1. |
34553410+ryangillard@users.noreply.github.com |
takumiohym@google.com |
55 shared files
09_deploying/caip_deploy_regional.sh
09_deploying/README.md
09_deploying/vertex_deploy.sh
10_mlops/10b_explain.ipynb
05_create_dataset/05_split_tfrecord.ipynb
03_image_models/03j_finetune_NASNETLARGE_flowers104.ipynb
04_detect_segment/04ac_retinanet_arthropods_predict.ipynb
03_image_models/03i_fromzero_XCEPTION_flowers104.ipynb
04_detect_segment/04ab_retinanet_arthropods_train.ipynb
09_deploying/09c_changesig.ipynb
07_training/serverlessml/flowers/classifier/train.py
03_image_models/03k_finetune_MOBILENETV2_flowers104.ipynb
07_training/07c_export.ipynb
09_deploying/09d_bytes.ipynb
03_image_models/03g_fromzero_RESNET50_flowers104.ipynb
06_preprocessing/06h_tftransform.ipynb
03_image_models/03a_transfer_learning.ipynb
09_deploying/09a_inmemory.ipynb
03_image_models/03b_finetune_MOBILENETV2_flowers5.ipynb
03_image_models/03d_finetune_VGG19_flowers104.ipynb
09_deploying/09e_tflite.ipynb
02_ml_models/02b_neural_network.ipynb
12_generation/12e_image_captioning.ipynb
02_ml_models/02a_machine_perception.ipynb
03_image_models/03h_finetune_DENSENET201_flowers104.ipynb
03_image_models/03z_ensemble_finetune_flowers104.ipynb
README.md
10_mlops/10a_mlpipeline.ipynb
03_image_models/03c_fromzero_ALEXNET_flowers104.ipynb
03_image_models/03i_finetune_XCEPTION_flowers104.ipynb
06_preprocessing/06f_mixup.ipynb
07_training/07b_gpumax.ipynb
09_deploying/09b_rest.ipynb
06_preprocessing/06g_tiling.ipynb
09_deploying/09f_explain.ipynb
03_image_models/03m_transformer_flowers104.ipynb
03_image_models/03h_fromzero_DENSENET121_flowers104.ipynb
06_preprocessing/06c_reuse_layers.ipynb
03_image_models/flowers.py
06_preprocessing/06b_reuse_functions.ipynb
03_image_models/03l_fromzero_EFFICIENTNETB4_flowers104.ipynb
06_preprocessing/06d_augmentation.ipynb
07_training/07d_distribute.ipynb
11_adv_problems/11c_scann_search.ipynb
03_image_models/03l_finetune_EFFICIENTNETB7_TFHUB_flowers104.ipynb
06_preprocessing/run_dataflow.sh
05_create_dataset/05_label_images.ipynb
06_preprocessing/06e_colordistortion.ipynb
03_image_models/diagrams.ipynb
03_image_models/03g_finetune_RESNET50_flowers104.ipynb
07_training/07a_ingest.ipynb
03_image_models/03e_finetune_INCEPTIONV3_flowers104.ipynb
03_image_models/03f_fromzero_SQUEEZENET24_flowers104.ipynb
03_image_models/03l_finetune_EFFICIENTNETB6_flowers104.ipynb
06_preprocessing/06a_resizing.ipynb
|
Most Connected Contributors
|
Contributor |
# connections |
# commits |
| 1. |
34553410+ryangillard@users.noreply.github.com |
1 |
1 |
| 2. |
takumiohym@google.com |
1 |
1 |
C-median: 1.0
A half of the contributors has more than 1.0 connections, and a half has less than this number.
C-mean: 1.0
An average number of connections a contributor has with other contributors.
C-index: 1.0
There are 1.0 contributors with 1.0 or more connections.
