100 dependents
| Package | Description | Downloads/month |
|---|---|---|
| EvalML is an AutoML library written in python. | 11K | |
| PiML (Python Interpretable Machine Learning) toolbox for model development & dia... | 9K | |
| Integrated tool for model development and validation. | 6K | |
| Framework for machine and deep learning, with regression, classification and tim... | 6K | |
| Details about the package | 5K | |
| Arthur Python SDK | 5K | |
| Deep learning backtracing and explainability toolkit | 4K | |
| Data Tools (Dat To) | 2K | |
| ESMValTool: A community diagnostic and performance metrics tool for routine eval... | 2K | |
| Unified, extensible explainability framework supporting 23 XAI methods including... | 2K | |
| Core modules for AntakIA | 2K | |
| A python package for benchmarking interpretability techniques on Transformers. | 1K | |
| A Data science library for data science / data analysis teams | 910 | |
| a framework for Automated Classification of Medical Images | 795 | |
| A package for explaining deep learning models | 763 | |
| Power Tools for AI Engineers With Deadlines | 756 | |
| AI Safety & Observability Platform | 755 | |
| An easier approach to using and understanding ML models | 753 | |
| Deep Insight And Neural Network Analysis | 721 | |
| Explainable AI with Large Language Models | 711 | |
| Scientific, modular machine-learning workflow components for EDA, processing, fe... | 691 | |
| Discovering geroprotectors through the explainable artificial intelligence-based... | 669 | |
| A package for model explainability and explainability comparision for tabular da... | 639 | |
| Automated Machine Learning project for financial data analysis. | 564 | |
| A toolkit for explaining AI models with SHAP, LIME, and visualizations | 552 | |
| Unified evaluation and explainability framework for ML models | 533 | |
| OCdocker is a docking automation suite with scoring functions consensus based on... | 516 | |
| A Python package for automated ML model benchmarking and comparison | 492 | |
| The Intelligent Bark Beetle Identifier (IBBI) is a Python package that provides ... | 487 | |
| State-of-the-art machine learning models and frameworks for real-world applicati... | 465 | |
| Dataset-agnostic ML classification library. Visualization tools, Slack integrati... | 451 | |
| 画钟测试------ 一种简单的铅笔和纸测试区分正常人和认知障碍患者，并已证明有助于诊断与神经系统疾病相关的认知功能障碍，如阿尔茨海默病，帕金森病和其他痴呆症... | 446 | |
| 446 | ||
| Add your description here | 429 | |
| OBAN Classifier: A Skorch-based flexible neural network for binary and multiclas... | 407 | |
| Machine learning interpretability metrics | 406 | |
| Increase interpretability of your models! | 386 | |
| Package implementing the SMER method for explainable machine learning on image d... | 371 | |
| Ensemble Learning Dalam Deteksi Berita Hoax Menggunakan XAI (LIME) | 359 | |
| A Model-Agnostic Framework for Natural Language Explanations of Predictive Model... | 347 | |
| A stress-testing framework for evaluating XAI explanation divergence. | 345 | |
| ML Model Development Guide - A comprehensive Streamlit application for building,... | 339 | |
| Unified CATE estimation: metalearners, neural nets, and boosted trees | 328 | |
| Feature selection using XAI | 316 | |
| A library for bias detection and explainable AI methods in NLP models. | 290 | |
| Python library for time series forecasting | 249 | |
| Explainable AI (XAI) and YOLO visualization + layer inspection utilities | 234 | |
| Discovering event prediction rules | 212 | |
| Jupyter notebook toolbox for model interpretability/explainability | 202 | |
| EvalML is an AutoML library written in python. | 196 |
