Popular GitHub Repositories for Blackbox

Fit interpretable models. Explain blackbox machine learning.

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Open-source implementation of Google Vizier for hyper parameters tuning

Quark Agent - Your AI-powered Android APK Analyst

集成了openai-api、coze、deepseek、cursor、windsurf、qodo、blackbox、you、grok、bing 绘画 多款AI的聊天逆向接口适配到 OpenAI API 标准接口服务端。

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

A curated list of algorithms and papers for auditing black-box algorithms.

? Using ChatGPT4/3.5-turbo/Gemini-Pro/BlackBox and etc. unlimited and free

Distribution transparent Machine Learning experiments on Apache Spark

Self-Explaining Neural Networks

LLM Optimize is a proof-of-concept library for doing LLM (large language model) guided blackbox optimization.

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

Official repo for SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

Rust implementation of the Simple(x) Global Optimization algorithm

Official repository for "PostMark: A Robust Blackbox Watermark for Large Language Models"