Search Results for "black box"
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Showing 85 open source projects for "black box"
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ConnectWise PSA (formerly Manage) allows you to stop working in separate systems, and helps you build a more profitable business. No more duplicate data entries, inefficient employees, manual invoices, and the inability to accurately track client service issues. Get a behind the scenes look into the award-winning PSA that automates processes for each area of business: sales, help desk, support, finance, and HR.
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Define and Deliver Comprehensive Cybersecurity Services. Security threats continue to grow, and your clients are most likely at risk. Small- to medium-sized businesses (SMBs) are targeted by 64% of all cyberattacks, and 62% of them admit lacking in-house expertise to deal with security issues. Now technology solution providers (TSPs) are a prime target. Enter ConnectWise Cybersecurity Management (formerly ConnectWise Fortify) — the advanced cybersecurity solution you need to deliver the managed detection and response protection your clients require. Whether you’re talking to prospects or clients, we provide you with the right insights and data to support your cybersecurity conversation. From client-facing reports to technical guidance, we reduce the noise by guiding you through what’s really needed to demonstrate the value of enhanced strategy.
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1
frida
Dynamic instrumentation toolkit for developers
Dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers. Inject your own scripts into black box processes. Hook any function, spy on crypto APIs or trace private application code, no source code needed. Edit, hit save, and instantly see the results. All without compilation steps or program restarts. Works on Windows, macOS, GNU/Linux, iOS, Android, and QNX. Install the Node.js bindings from npm, grab a Python package from PyPI, or use Frida through its Swift... -
2
Detox
Gray box end-to-end testing and automation framework for mobile apps
... flakiness head on is by moving from black box testing to gray box testing. That's where Detox comes into play. Detox is built from the ground up to support React Native projects as well as pure native ones. Read the Getting Started Guide to get Detox running on your app in less than 10 minutes. We believe that the only way to address the core difficulties with mobile end-to-end testing is by rethinking some of the principles of the entire approach. -
3
Alibi Explain
Algorithms for explaining machine learning models
Alibi is a Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models. -
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InterpretML
Fit interpretable models. Explain blackbox machine learning
In the beginning, machines learned in darkness, and data scientists struggled in the void to explain them. InterpretML is an open-source package that incorporates state-of-the-art machine-learning interpretability techniques under one roof. With this package, you can train interpretable glass box models and explain black box systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. -
As your users rely more and more on Cloud and Internet-based technologies, reliable internet connectivity becomes more and more important to your business. With Bigleaf’s proven SD-WAN architecture, groundbreaking AI, and DDoS attack mitigation, you can finally deliver the reliable internet connectivity your business needs without the limitations of traditional networking platforms. Bigleaf’s Cloud Access Network and plug-and-play router allow for limitless control to and from anywhere your traffic needs to go. Bigleaf’s self-driving AI automatically identifies and adapts to any changing circuit conditions and traffic needs—addressing issues before they impact your users. Bigleaf puts you in the driver’s seat of every complaint and support call with full-path traffic and network performance data, delivered as actionable insights, reports, and alerts.
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CounterfactualExplanations.jl
A package for Counterfactual Explanations and Algorithmic Recourse
CounterfactualExplanations.jl is a package for generating Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box algorithms. Both CE and AR are related tools for explainable artificial intelligence (XAI). While the package is written purely in Julia, it can be used to explain machine learning algorithms developed and trained in other popular programming languages like Python and R. See below for a short introduction and other resources or dive straight into the docs. -
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Face Alignment
2D and 3D Face alignment library build using pytorch
... dlib, BlazeFace, or pre-existing ground truth bounding boxes. While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage. -
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ExplainableAI.jl
Explainable AI in Julia
This package implements interpretability methods for black box models, with a focus on local explanations and attribution maps in input space. It is similar to Captum and Zennit for PyTorch and iNNvestigate for Keras models. Most of the implemented methods only require the model to be differentiable with Zygote. Layerwise Relevance Propagation (LRP) is implemented for use with Flux.jl models. -
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Open Source Vizier
Python-based research interface for blackbox
Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. Defines abstractions and utilities for implementing new optimization algorithms... -
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JuliaFormatter.jl
An opinionated code formatter for Julia
Width-sensitive formatter for Julia code. Inspired by gofmt, refmt, black, and prettier. Built with CSTParser. Sane defaults out of the box with options to customize. Supports YAS, Blue and SciML style guides. JuliaFormatter.toml configuration file to store options. JuliaFormatter exports format, format_file, format_text, and format_md. format_md has the same API as format_text but differ in that format_md expects the text content to be a Markdown document. See format_text docstring... -
Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
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10
hapi
The simple, secure framework developers trust
Build powerful, scalable applications, with minimal overhead and full out-of-the-box functionality. Originally developed to handle Walmart’s Black Friday scale, hapi continues to be the proven choice for enterprise-grade backend needs. When you npm install @hapi/hapi, every single line of code you get has been verified. You never have to worry about some deep dependency being poorly maintained (or handed over to someone sketchy). hapi is the only leading node framework without any external code... -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
... the machine learning models, and perform hyper-parameter tuning to find the best model. It is no black box, as you can see exactly how the ML pipeline is constructed (with a detailed Markdown report for each ML model). -
12
OpenCost
Cost monitoring for Kubernetes workloads and cloud costs
OpenCost is a vendor-neutral open-source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as support... -
13
OmniAuth
OmniAuth is a flexible authentication system utilizing Rack middleware
OmniAuth is a library that standardizes multi-provider authentication for web applications. It was created to be powerful, flexible, and do as little as possible. Any developer can create strategies for OmniAuth that can authenticate users via disparate systems. OmniAuth strategies have been created for everything from Facebook to LDAP. In order to use OmniAuth in your applications, you will need to leverage one or more strategies. These strategies are generally released individually as... -
14
3D Box rotation
Simple example of draw and rotate 3D box
Simple source .java file; .bat for fast re-compile and run; and pre-compiled .jar Java program with example from scratch writed in Notepad++ without Eclipse, etc., How to draw and rotate 3D box most simple way. Rotation speed regulated in simple Loop with 10 ms sleep. Use Java version 8 (OpenJDK 8, OracleJDK 8, OracleJRE 8, ..). Higher versions have an anti-aliasing error in the BufferedImage ( Windows 10 ). -
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wxMathPlot is an add-on library for wxWidgets which provides a framework for easy plotting of mathematical functions, sampled data and generic 2D plots.
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Instigate Application Framework
Software libraries for effective development of desktop applications.
... is generated automatically by the Framework based on the registered data. The registration API also provides means to enter description of user data which is used for generation of high quality standard-compliant Reference Manual for the application. Registered database is wrapped into a scripting interface to enable of automatic generation of black-box tests. -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, DB repo, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator: https://acims.asu.edu/devs-suite/ OFFERS: 1) synchronized execution & animation, 2) run-time linear/superdense I/O & state trajectories, 3) Action Level Real-Time modeling & simulation, 4) model checking, 5) ABM, 6) CA & composable CA playback, 7) KIB interaction modeling, 8) hierarchical model libraries, 9) Black-Box testing & debugging, 10) PostgreSQL repository, 11) FMU (OpenModelica), 12) OSATE (AADL... -
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BoxMG4WRF
The BoxMG elliptic equation solver for WRF
This is a version of the Dendy-Moulton "Black Box Multigrid" elliptic equation solver (until a more permanent archive is established). It has been updated to allow single-precision solutions and is posted here for use with an upcoming release of WRF (Weather Research and Forecasting) model including storm electrification. Only runs under MPI at this time (i.e., no SMP/OpenMP support). The code here is not actively developed and is provided solely for use with WRF to support the WRF_ELEC... -
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Scikit-Optimize
Sequential model-based optimization with a `scipy.optimize` interface
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts. The library is built on top of NumPy, SciPy and Scikit-Learn. -
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Black Box 1.0 For Encryption
Black Box 1.0 For Encryption
Black Box Encryption Program: A program that uses encryption to prevent unauthorized access to digital information. Encryption is used to protect digital information on computers. The user can add various files in an organized way and merge them into one executive file -
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CloudBrute
Awesome cloud enumerator
A tool to find a company (target) infrastructure, files, and apps on the top cloud providers (Amazon, Google, Microsoft, DigitalOcean, Alibaba, Vultr, Linode). The outcome is useful for bug bounty hunters, red teamers, and penetration testers alike. While working on HunterSuite, and as part of the job, we are always thinking of something we can automate to make black-box security testing easier. We discussed this idea of creating a multiple platform cloud brute-force hunter.mainly to find open... -
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Raquel Database System
RAQUEL : "Relational Algebra Query, Update and Executive Language"
The project has 2 related sets of aims. As a language, RAQUEL is to : 1. be a pure relational algebra language (unlike SQL) as defined by Date & Darwen's "The Third Manifesto"; 2. incorporate a generalised extension of the ANSI-SPARC 3-layer DB architecture; 3. have the maximum ratio of functionality to conceptual complexity (as defined by Fred Brooks). As a DBMS, RAQUEL is to : 1. have an Open Architecture, enabling a variety of DBMS configurations of 'black box' code, each... -
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SOAP/REST Mock Service
Mock service for SOAP/REST webservices to support automated tests.
SOAP/REST Mock Service is a simple configurable application designed to mock any SOAP or RESTful (or "REST-like") webservices. It's main goal is to support automated black box integration testing of applications that integrate with 3rd party applications. Check the Wiki section for more details. -
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automl-gs
Provide an input CSV and a target field to predict, generate a model
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model... -
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Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction...