PyDigger - unearthing stuff about Python


NameVersionSummarydate
signxai2 0.8.0 A comprehensive explainable AI library supporting both TensorFlow and PyTorch with unified API and advanced XAI methods including SIGN, LRP, and Grad-CAM. Authored by Nils Gumpfer, Jana Fischer and Alexander Paul. 2025-07-28 20:51:44
indoxrouter 0.1.25 A unified client for various AI providers 2025-07-27 10:28:11
parllama 0.3.28 Terminal UI for Ollama and other LLM providers 2025-07-26 15:59:02
metorial-xai 1.0.0rc2 XAI (Grok) provider for Metorial 2025-07-26 12:17:52
yaicli 0.8.10 A simple CLI tool to interact with LLM 2025-07-24 05:37:04
quantus 0.6.0 A metrics toolkit to evaluate neural network explanations. 2025-07-21 15:29:28
corelay 1.0.0 CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines to generate analysis data which can then be visualized using ViRelAy. 2025-07-21 09:48:39
streamlm 0.1.10 A command-line interface for interacting with various Large Language Models with streaming markdown output 2025-07-11 20:19:29
neuralGAM 1.0.0 Neural network framework based on Generalized Additive Models. 2025-03-23 18:07:32
bias-lens 0.0.2 A library for bias detection and explainable AI methods in NLP models. 2025-02-23 08:16:06
par-scrape 0.6.0 A versatile web scraping tool with options for Selenium or Playwright, featuring OpenAI-powered data extraction and formatting. 2025-02-21 18:43:27
xai-grok 0.0.1 A community-maintained SDK (Standard Developer Kit) for XAI Grok models 2025-02-12 01:54:48
lfprop 0.1.0 A package for gradient-free neural network training using LFP 2025-01-28 17:11:02
pyPRUF 0.0.3 A Python library for PRUF, a meaning representation and manipulation language for approximate reasoning purposes, proposed by Zadeh. 2025-01-23 15:53:48
shapiq 1.2.0 Shapley Interactions for Machine Learning 2025-01-15 07:41:54
quanda 0.0.4 Toolkit for quantitative evaluation of data attribution methods in PyTorch. 2025-01-02 14:21:10
shap-explainer 0.1.7 SHAP explainer with ChatGPT API 2024-12-05 05:20:08
fgclustering 1.1.1 Forest-Guided Clustering - Explainability method for Random Forest models. 2024-11-19 17:13:43
python-define 3.0.0 An AI-powered command-line linguistics assistant 2024-10-22 06:18:37
explainableai 0.10 A comprehensive package for Explainable AI and model interpretation 2024-10-13 06:48:03
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