| Name | Version | Summary | date |
| pybullet-envs-gymnasium |
0.5.0 |
Gymnasium port of pybullet envs |
2024-11-05 09:55:28 |
| multi-comp-matrix |
0.0.2 |
Multi Comparison Matrix: A long term approach to benchmark evaluations |
2024-11-04 17:02:29 |
| sbx-rl |
0.18.0 |
Jax version of Stable Baselines, implementations of reinforcement learning algorithms. |
2024-11-01 07:49:04 |
| data-science-utils |
1.8.0 |
This project is an ensemble of methods which are frequently used in python Data Science projects. |
2024-10-08 06:42:59 |
| safe-ds-datasets |
0.19.0 |
Ready-to-use datasets for the Safe-DS Python library. |
2024-10-02 12:16:40 |
| mat-classification |
0.1rc1 |
MAT-classification: Analysis and Classification methods for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:47:41 |
| mat-clustering |
0.1rc1 |
Clustering Methods for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:44:34 |
| mat-data |
0.1rc6 |
MAT-data: Data Preprocessing for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:41:23 |
| mat-model |
0.1rc1 |
MAT-model: Model Classes for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:37:57 |
| mat-similarity |
0.1rc1 |
Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:33:58 |
| mat-view |
0.1rc1 |
MAT-view: Visualization Tools for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:28:15 |
| arcgis |
2.4.0 |
ArcGIS API for Python |
2024-10-01 15:35:29 |
| safe-ds |
0.28.1 |
A user-friendly library for Data Science in Python. |
2024-09-26 11:24:22 |
| safe-ds-runner |
0.18.0 |
Execute Safe-DS programs that were compiled to Python. |
2024-09-17 20:45:26 |
| leo-data-analyser |
1.0.0 |
Generate profile report for pandas DataFrame |
2024-08-30 07:14:30 |
| sysidentpy |
0.4.1 |
A Python Package For System Identification Using NARMAX Models |
2024-08-11 20:42:40 |
| elastic-warping-vis |
0.2.1 |
Visualization of Elastic Warping of Time Series Data |
2024-07-29 16:59:03 |
| aeon-neuro |
0.0.1 |
A package for ECG and EEG time series analysis built on the aeon toolkit. |
2024-07-15 19:45:15 |
| open-metric-learning |
3.1.5 |
OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings. |
2024-07-05 14:50:32 |
| generator-prompt-kit |
1.0.3 |
A Python Library for Automated Generator Prompting and Dataset Generation |
2024-06-21 22:51:55 |