shap/shap
A game theoretic approach to explain the output of any machine learning model.
馃攨 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Appears on
Quick read
Latest capture 2026-08-03 03:05
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
6 observed captures since 2026-05-25. Observed captures are shown by default.
Stars from first capture +30
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
A game theoretic approach to explain the output of any machine learning model.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Use Webpack to manage app-like JavaScript modules in Rails
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
馃搳 llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.
An Open Source implementation of Notebook LM with more flexibility and features