bnnr-team

bnnr-team/bnnr

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

32 stars 11 forks 32 watchers Python MIT License

augmentation computer-vision data-augmentation deep-learning explainability explainable-ai grad-cam image-classification interpretability machine-learning model-analysis model-debugging neural-network object-detection python pytorch saliency-maps torchvision vision xai

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18 Open Issues Need Help Last updated: Jul 10, 2026

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T05: Fix a stale or missing flag in the CLI docs about 2 hours ago

good first issue cohort track:dev level:starter

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

T01: Add a troubleshooting entry for an error you actually hit 13 days ago

good first issue cohort track:dev level:starter

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

T06: Smoke and reproduce one grand-benchmark run 13 days ago

good first issue cohort track:research level:starter

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

T03: Improve one confusing first-run CLI error message 14 days ago

good first issue cohort track:dev level:starter

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

T04: Add a classification config preset example 22 days ago

good first issue cohort track:dev level:starter

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

T02: Add a unit test for an augmentation with thin coverage 22 days ago

good first issue cohort track:dev level:starter

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

examples: add cifar10_quick_smoke.yaml preset and README note about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

docs: troubleshooting section for venv and externally-managed-environment about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

docs: add "Try analyze first" section to getting_started.md about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

docs: add Roadmap link to README Links table about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

chore: add GitHub issue template "Who uses BNNR" (showcase) about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

chore: add GitHub issue template for benchmark contributions about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

docs: add "Torchvision pretrained checkpoint" section stub in analyze.md about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

chore: type hints in benchmarks/summarize.py about 1 month ago

good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

docs: note benchmark protocol caveat in docs/benchmarks.md about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

test: guard benchmark results.json has runs for all 3 conditions about 1 month ago

good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

docs: add GitHub Discussions link to README Links table about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai

docs: link live githack sample in docs/analyze.md about 1 month ago

documentation good first issue

32

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Python

#augmentation#computer-vision#data-augmentation#deep-learning#explainability#explainable-ai#grad-cam#image-classification#interpretability#machine-learning#model-analysis#model-debugging#neural-network#object-detection#python#pytorch#saliency-maps#torchvision#vision#xai