| Name | Version | Summary | date |
| langagent |
2.1.6 |
LangAgent is a versatile multi-agent system designed to streamline complex tasks such as research, automated code generation, logical reasoning, data analysis, and dynamic reporting. Powered by advanced language models, it integrates seamlessly with external APIs, databases, and a variety of data formats, enabling developers and professionals to automate workflows, extract insights, and generate professional-grade reports effortlessly. |
2024-12-06 08:03:36 |
| textmining-module |
2.1.2 |
A Python Module for Comprehensive Text Mining, including Keyword Extraction and Text Analysis. |
2024-12-05 18:26:42 |
| LangAgent |
0.3.1 |
LangAgent is a versatile multi-agent system designed to streamline complex tasks such as research, automated code generation, logical reasoning, data analysis, and dynamic reporting. Powered by advanced language models, it integrates seamlessly with external APIs, databases, and a variety of data formats, enabling developers and professionals to automate workflows, extract insights, and generate professional-grade reports effortlessly. |
2024-10-04 18:32:40 |
| RAGFlowChain |
0.5.1 |
A comprehensive toolkit for building Retrieval-Augmented Generation (RAG) pipelines, including data loading, vector database creation, retrieval, and chain management. |
2024-10-04 18:17:07 |
| woe-iv-bin |
0.1.2 |
A Python Library for WoE, IV Calculation, and Continuous Binning Optimization. |
2024-09-25 20:40:27 |
| scorecard-generator |
2.2.0 |
A Python Library for Creating Scorecards From Classification Models. |
2024-04-09 22:46:31 |
| 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 |
| ab-testing-module |
3.1.7 |
The AB Testing Module is a comprehensive suite designed for analyzing and reporting A/B test experiments, featuring functions for statistical analysis, advanced modeling, and data visualization to transform experimental results into actionable insights. |
2024-03-18 08:25:19 |
| backwards-regression |
0.2.0 |
Backwards Regression Python Library - Automated feature selection in linear and logistic regression models. |
2024-01-23 16:25:21 |
| forecasting-models |
0.1 |
Advanced Time Series Forecasting Suite: Leveraging Diverse Models for Predictive Analytics |
2024-01-22 04:34:21 |
| backwardsreg |
0.1 |
Backward Regression Python Library - Automated feature selection in linear and logistic regression models. |
2024-01-18 20:47:56 |
Kwadwo Daddy Nyame Owusu - Boakye