Blackbox tool to disable SSL certificate validation - including certificate pinning - within iOS and OS X Apps

Open-source implementation of Google Vizier for hyper parameters tuning

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

A Repository For Config Files / Dotfiles / Themes / Color Schemes / Etc...

ExplainX is a fast, light-weight, and scalable explainable AI framework for data scientists to explain and debug any black-box model.

LinBox - C++ library for exact, high-performance linear algebra

Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18

In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

Multi-core BUGS for fast Bayesian inference of large hierarchical models

model-describer : Making machine learning interpretable to humans

Backtrace-on-throw C++ exception logger

A collection of black-box optimizers with a focus on evolutionary algorithms

Interactive log viewer for flight logs recorded with blackbox

Lambdabox provides a generic embedded domain specific language (EDSL) in Haskell for communication with multiple cryptocurrency exchanges.

Self-Explaining Neural Networks

Tiny Tutorial on https://arxiv.org/abs/1703.04730

bbdock displays transparent PNG icons in the Blackbox/Openbox/Fluxbox slit

The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]

ZebX Desktop BB Window Manager Interface.

The White Box Project is a project that introduces many ways to solve the part of the black box of machine learning. This project is based on Interpretable Machine Learning by Christoph Molnar. I recommend you to read the book first and practice this project.

Kinetica BlackBox Model SDK

A simple yaml-driven http testing tool.

Miscellaneous scripts, configs, and other doodads. Also called dotfiles.

Ansible role for Prometheus Blackbox exporter

Example Workflow for Black-Box Software Builds using Docker