| Name | Version | Summary | date |
| pymandala |
0.2.0a0 |
A powerful and easy to use experiment tracking framework |
2024-12-20 21:13:03 |
| scanscope |
1.0.0 |
Visualize portscan results |
2024-12-20 13:01:05 |
| argilla-server |
2.6.0 |
Open-source tool for exploring, labeling, and monitoring data for NLP projects. |
2024-12-18 14:59:43 |
| future-sales-prediction-2024 |
3.4.15 |
A package for feature extraction, hyperopt, and validation schemas |
2024-12-16 11:33:24 |
| skchange |
0.10.0 |
Sktime-compatible change and anomaly detection |
2024-12-13 08:03:29 |
| pixeltable |
0.2.28 |
AI Data Infrastructure: Declarative, Multimodal, and Incremental |
2024-12-11 01:42:33 |
| zntrack |
0.8.1 |
Create, Run and Benchmark DVC Pipelines in Python |
2024-12-10 15:56:12 |
| ydata-profiling |
4.12.1 |
Generate profile report for pandas DataFrame |
2024-12-08 20:13:42 |
| span-marker |
1.6.0 |
Named Entity Recognition using Span Markers |
2024-12-05 10:36:03 |
| aeon |
1.0.0 |
A toolkit for machine learning from time series |
2024-11-28 17:25:52 |
| netmedpy |
0.1.4 |
NetMedPy evaluates network localization (statistical analysis of the largest connected component/subgraph or LCC), calculates proximity and separation between biological entities, and conducts screenings involving a large number of diseases and drug targets. |
2024-11-25 23:07:37 |
| statmoments |
1.0.9 |
Fast streaming single-pass univariate/bivariate statistics and t-test |
2024-11-22 20:11:47 |
| ds-future-sales-2024 |
0.1.2 |
A package for feature extraction, hyperopt, and validation schemas |
2024-11-22 09:38:36 |
| rl-zoo3 |
2.4.0 |
A Training Framework for Stable Baselines3 Reinforcement Learning Agents |
2024-11-18 10:32:36 |
| sb3-contrib |
2.4.0 |
Contrib package of Stable Baselines3, experimental code. |
2024-11-18 10:20:53 |
| stable-baselines3 |
2.4.0 |
Pytorch version of Stable Baselines, implementations of reinforcement learning algorithms. |
2024-11-18 10:03:27 |
| skpro |
2.8.0 |
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python |
2024-11-17 17:15:55 |
| scikit-base |
0.12.0 |
Base classes for sklearn-like parametric objects |
2024-11-13 21:49:13 |
| tsml |
0.5.0 |
A development sandbox for time series machine learning algorithms. |
2024-11-13 11:23:30 |
| skforecast |
0.14.0 |
Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others. |
2024-11-11 13:34:49 |