Popular GitHub Repositories for Black Holes

Deep learning software for colorizing black and white images with a few clicks.

基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition

Coloring black and white images with deep learning.

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

?️ Tool to generate adversarial text examples and test machine learning models against them

WifiForge is a tool developed by Black Hills InfoSec to help train Pentesters on different Wi-Fi attack vectors and Wireless capabilities.

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets_and_Benchmarks.html)

MetaDE is a GPU-accelerated evolutionary framework that optimizes Differential Evolution (DE) strategies via meta-level evolution. Supporting both JAX and PyTorch, it dynamically adapts mutation and crossover strategies for efficient large-scale black-box optimization.

Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

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

Sequor is a SQL-centric platform for building API integrations without lock-in and black boxes. Fuses API execution with SQL logic to provide an open, flexible platform for all your data and app integrations.

Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.