tensorflow/model-remediation

Model Remediation is a library that provides solutions for machine learning practitioners working to create and train models in a way that reduces or eliminates user harm resulting from underlying performance biases.

PythonApache-2.0

Issues

Dependency issue during installation.
#34 opened a year ago by sharmi1206
1
Infer_Schema in FDW Utils: Can't handle features with no shape info
#32 opened 2 years ago by CLSchmitz
1
TF Dataset to TF Examples List in FDW Utils: Can't handle sparse tensors / empty values
#33 opened 2 years ago by CLSchmitz
1
TF Dataset to TF Examples List in FDW Utils: Implementation is slow and consumes excessive RAM
#31 opened 2 years ago by CLSchmitz
0
TF Dataset to TF Examples List in FDW Utils: Can only handle flat datasets
#30 opened 2 years ago by CLSchmitz
0
[GSOC]: Create a simple colab for mindiff with CelebA data
#26 opened 2 years ago by bhaktipriya
19
[GSOC]: Compare TFCO with mindiff on text data.
#27 opened 2 years ago by bhaktipriya
8
[GSOC]: Fair Data Reweighting
#28 opened 2 years ago by pranjal-awasthi
18
[GSOC]: Active Sampling for Min-Max Fairness
#29 opened 2 years ago by pranjal-awasthi
11
ValueError: The following keyword arguments are not supported by this model: ['labels'].
#25 opened 3 years ago by Rishikumar04
1
Keyword arguments not supported by original model: `['mask']`
#24 opened 3 years ago by matanhalevy
3