ai-privacy-toolkit/requirements.txt

numpy==1.24.2
pandas==1.1.05
scipy==1.4.1
scikit-learn>=0.22.2
torch>=1.8.0
tqdm>=4.64.1
matplotlib>=3.7.0
adversarial-robustness-toolbox>=1.11.0

# testing
pytest==5.4.2
tensorflow==2.8.3
xgboost==1.7.2
Pillow==9.3.0
sortedcontainers==2.4.0
Update requirements Signed-off-by: abigailt <abigailt@il.ibm.com> 2023-02-23 10:59:51 +02:00			`numpy==1.24.2`
			`pandas==1.1.05`
Prepare project for CI: cleanup dependencies, fix test data location, cleanup assert. Signed-off-by: Maya Anderson <mayaa@il.ibm.com> 2022-12-20 15:26:05 +02:00			`scipy==1.4.1`
Merge with main 2022-08-01 18:11:34 +03:00			`scikit-learn>=0.22.2`
Documentation updates (#29) * Bump version to 0.1.0 (breaking changes to some APIs) * Update documentation * Update requirements * gitignore 2022-05-02 11:46:18 +03:00			`torch>=1.8.0`
Merge pull request #71 from IBM/dataset_assessment Add AI privacy Dataset assessment module with two attack implementations. Signed-off-by: Maya Anderson <mayaa@il.ibm.com> 2023-03-20 14:14:09 +02:00			`tqdm>=4.64.1`
			`matplotlib>=3.7.0`
Keras regression support 2022-07-20 14:17:25 +03:00			`adversarial-robustness-toolbox>=1.11.0`
Initial commit 2021-04-28 14:00:19 +03:00
			`# testing`
Prepare project for CI: cleanup dependencies, fix test data location, cleanup assert. Signed-off-by: Maya Anderson <mayaa@il.ibm.com> 2022-12-20 15:26:05 +02:00			`pytest==5.4.2`
			`tensorflow==2.8.3`
			`xgboost==1.7.2`
			`Pillow==9.3.0`
			`sortedcontainers==2.4.0`