| Name | Version | Summary | date |
| outlines |
0.0.41 |
Probabilistic Generative Model Programming |
2024-04-30 13:13:44 |
| sparrow-python |
0.2.3 |
None |
2024-04-29 17:35:57 |
| flaxkv |
0.2.8 |
A high-performance dictionary database. |
2024-04-27 15:09:34 |
| synthemol |
1.0.3 |
synthemol |
2024-04-26 06:20:55 |
| redflag |
0.5.0 |
Safety net for machine learning pipelines. |
2024-04-22 17:19:34 |
| PyTimbre |
0.8.7 |
Python conversion of Timbre Toolbox |
2024-04-22 14:44:11 |
| rdt |
1.12.0 |
Reversible Data Transforms |
2024-04-19 16:50:44 |
| lightning-pose |
1.3.1 |
Semi-supervised pose estimation using pytorch lightning |
2024-04-17 16:51:22 |
| heart-library |
0.3.1 |
Hardened Extension of the Adversarial Robustness Toolbox (HEART) supports assessment of adversarial AI vulnerabilities in Test & Evaluation workflows. |
2024-04-15 18:33:05 |
| xcs-rc |
1.1.9 |
Accuracy-based Learning Classifier Systems with Rule Combining |
2024-04-15 12:40:01 |
| phiml |
1.5.1 |
Unified API for machine learning |
2024-04-15 12:12:27 |
| daal4py |
2024.3.0 |
Intel® oneAPI Data Analytics Library |
2024-04-11 13:21:33 |
| scikit-learn-intelex |
2024.3.0 |
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application. |
2024-04-11 13:21:10 |
| mlpack |
4.3.0.post2 |
a flexible, fast machine learning library |
2024-04-10 13:40:15 |
| feature-engineering |
2.1.4 |
Unleash the Power of Your Data with Feature Engineering: The Ultimate Python Library for Machine Learning Preprocessing and Enhancement |
2024-04-09 02:00:21 |
| h2o-pysparkling-scoring-2.4 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:59 |
| h2o-pysparkling-2.4 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:48 |
| h2o-pysparkling-scoring-2.3 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:32 |
| h2o-pysparkling-2.3 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:21 |
| sigmoid-contrastive-learning |
0.1.0 |
Implementation of modulated sigmoid pairwise contrastive loss for self-supervised learning on images |
2024-04-08 06:45:54 |