| Name | Version | Summary | date |
| invariant-causal-prediction |
0.1.1 |
Invariant Causal Prediction (ICP) for Python: causal predictor discovery via invariance across environments with confidence intervals and R-parity tests. |
2025-08-10 15:02:13 |
| langtest |
2.6.0 |
John Snow Labs provides a library for delivering safe & effective NLP models. |
2025-03-11 05:25:18 |
| CTRAIN |
0.1.2 |
CTRAIN is an unified, modular and comprehensive package for the training and evaluation of certified training techniques. |
2025-02-07 16:36:33 |
| equine-webapp |
0.1.dev82 |
Companion web application for EQUINE^2: Establishing Quantified Uncertainty for Neural Networks |
2025-02-06 21:54:56 |
| equine |
0.1.4 |
EQUINE^2: Establishing Quantified Uncertainty for Neural Networks |
2024-08-22 17:42:08 |
| thetis |
0.2.1 |
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects. |
2024-06-11 14:26:21 |
| thetiscore |
0.2.1 |
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects. |
2024-06-11 14:25:49 |