| Name | Version | Summary | date |
| bitfount |
0.5.26 |
Machine Learning and Federated Learning Library. |
2022-06-30 15:56:45 |
| modelaapi |
0.4.677 |
A suite of automatic machine learning for kubernetes |
2022-06-30 15:50:46 |
| ROCFunctions |
0.1.0 |
Receiver Operating Characteristic (ROC) functions package. |
2022-06-30 14:24:58 |
| tfgen |
0.2.2 |
Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams. |
2022-06-30 12:28:54 |
| torchx-nightly |
2022.6.30 |
TorchX SDK and Components |
2022-06-30 11:26:56 |
| astrape |
0.6.7 |
Astrape: A STrategic, Reproducible & Accesible Project and Experiment. |
2022-06-30 11:07:26 |
| puma-hep |
0.1.4 |
Plotting API for HEP flavour tagging plots. |
2022-06-30 10:08:56 |
| powershap |
0.0.7.1 |
Feature selection using statistical significance of shap values |
2022-06-30 10:07:25 |
| keras-nightly |
2.10.0.dev2022063007 |
Deep learning for humans. |
2022-06-30 07:56:08 |
| dswizard |
0.2.4 |
DataScience Wizard for automatic assembly of machine learning pipelines |
2022-06-30 07:49:37 |
| tfg-nightly |
2022.6.30 |
A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow. |
2022-06-30 01:01:17 |
| torchmetrics |
0.9.2 |
PyTorch native Metrics |
2022-06-29 22:54:27 |
| smarterai |
0.4.0 |
smarter.ai Python API |
2022-06-29 21:15:36 |
| metats |
0.1.5 |
Meta-Learning for Time Series Forecasting |
2022-06-29 20:48:16 |
| gradio |
3.0.21 |
Python library for easily interacting with trained machine learning models |
2022-06-29 18:43:11 |
| nlp-primitives |
2.7.1 |
natural language processing primitives for Featuretools |
2022-06-29 18:33:03 |
| l2r |
0.0.0 |
a OpenAI gym environment for high performance autonomous racing |
2022-06-29 15:38:31 |
| torchbox |
1.1.11 |
A PyTorch Toolbox. |
2022-06-29 15:14:11 |
| graphsignal |
0.8.5 |
Graphsignal Profiler |
2022-06-29 14:46:30 |
| dswizard-components |
0.2.2 |
Contains all base algorithms used by dswizard |
2022-06-29 08:25:09 |