Search Results for "baseline"
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Showing 87 open source projects for "baseline"
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When it comes to cybersecurity, what your clients don’t know can really hurt them. And believe it or not, keep them safe starts with asking questions. With ConnectWise Identify Assessment, get access to risk assessment backed by the NIST Cybersecurity Framework to uncover risks across your client’s entire business, not just their networks. With a clearly defined, easy-to-read risk report in hand, you can start having meaningful security conversations that can get you on the path of keeping your clients protected from every angle. Choose from two assessment levels to cover every client’s need, from the Essentials to cover the basics to our Comprehensive Assessment to dive deeper to uncover additional risks. Our intuitive heat map shows you your client’s overall risk level and priority to address risks based on probability and financial impact. Each report includes remediation recommendations to help you create a revenue-generating action plan.
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
...++) and optimized for highly distributed computing environments. This makes them hardly accessible for students, researchers and hackers. Many simple Python implementations can be found on Github, but none of them is able to beat a reasonable baseline on games such as Othello or Connect Four. As an illustration, the benchmark in the README of the most popular of them only features a random baseline, along with a greedy baseline that does not appear to be significantly stronger. -
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OpenH264
Open Source H.264 Codec
... environment, this will effectively make H.264 free for use on supported platforms. OpenH264 is a codec library which supports H.264 encoding and decoding. It is suitable for use in real-time applications such as WebRTC. Constrained Baseline Profile up to Level 5.2 (Max frame size is 36864 macro-blocks). Arbitrary resolution, not constrained to multiples of 16x16. Rate control with adaptive quantization, or constant quantization. -
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InfluxDB
The open source time series database
InfluxDB is an open source time series datastore designed to handle high write and query loads. Time series is currently the fastest growing database category there is, and InfluxDB is here to ensure businesses can keep up. InfluxDB provides infrastructure and application monitoring, IoT monitoring and analytics and more. It has APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes. This data can also be visualized, explored and more... -
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Infection Monkey
Infection Monkey is a automated security testing tool for networks
Infection Monkey is a open source automated security testing tool for testing a network's security baseline. Monkey is a tool that infects machines and propagates and Monkey Island is the server for an administrator to control and visualize progress of Infection Monkey. -
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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BNB Chain
A Binance Smart Chain client based on the go-ethereum fork
... fork. So you may see many toolings, binaries and also docs are based on Ethereum ones, such as the name “geth”. But from that baseline of EVM compatible, Binance Smart Chain introduces a system of 21 validators with Proof of Staked Authority (PoSA) consensus that can support short block time and lower fees. The most bonded validator candidates of staking will become validators and produce blocks. -
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Ark Pixel Font
Ark pixel font - Open source Pan-CJK pixel font
Ark pixel font - Open source Pan-CJK pixel font / Ark pixel font - Open source Pan-CJK pixel font. An open-source pan-Chinese-Japanese-Korean pixel font. 10, 12 and 16 pixels are supported. The goal is to provide an out-of-the-box pixel font solution for game development that can be used for text. This project not only provides all the glyph source files, but also provides the complete program needed to build the font. This font is still in early development and still lacks a large number of... -
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FVim
Cross platform Neovim front-end UI, built with F# + Avalonia
Cross platform Neovim front-end UI, built with F# + Avalonia. Download the latest release package for your system, extract and run FVim! For Windows 7 / Vista / 8.1 / Server 2008 R2 / Server 2012 R2, use the win7-x64 package. For Windows 10, use the win-x64 package -- this version has faster startup. For macOS, it's packaged as an app bundle, unzip and drag it to your applications folder. Use a Windows FVim frontend with a WSL neovim: fvim, wsl. Multi-grid support, try Ctrl-w ge to detach a... -
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pybaselines
Library of algorithms for baseline correction of experimental data
pybaselines is a Python library that provides many different algorithms for performing baseline correction on data from experimental techniques such as Raman, FTIR, NMR, XRD, XRF, PIXE, etc. The aim of the project is to provide a semi-unified API to allow quick testing and comparing multiple baseline correction algorithms to find the best one for a set of data. pybaselines has 50+ baseline correction algorithms. These include popular algorithms, such as AsLS, airPLS, ModPoly, and SNIP, as well... -
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Visual Regression Tracker
Backend and Frontend application for tracking differences via image
Open source, self-hosted solution for visual testing and managing results of visual testing. Service receives images, performs pixel-by-pixel comparisons with its previously accepted baseline, and provides immediate results in order to catch unexpected changes. Use implemented libraries to integrate with existing automated suites by adding assertions based on image comparison. We provide native integration with automation libraries, core SDK and Rest API interfaces that allow the system... -
BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
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interactive-examples
Home of the MDN live code editor interactive examples
Home of the MDN interactive code examples. The dynamically generated pages, their dependencies, and assets are generated to the prod branch. -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,... -
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imodelsX
Interpretable prompting and models for NLP
Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better... -
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Vowpal Wabbit
Machine learning system which pushes the frontier of machine learning
... for the learning algorithm is substantially more flexible than might be expected. Examples can have features consisting of free-form text, which is interpreted in a bag-of-words way. There can even be multiple sets of free-form text in different namespaces. Similar to the few other online algorithm implementations out there. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function. -
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coroot
Open-source observability for microservices
... require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. Don't make assumptions, know exactly what the resources were spent on. Easily investigate any anomaly by comparing it to the system's baseline behavior. -
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PHPStan
Dscover bugs in your code without running it!
... at your own pace. It makes work feel like a game. It doesn't matter how old your code is, PHPStan is here to help you improve it. Thanks to the baseline, you can start writing better code today. PHPStan offers extensions for popular frameworks like Symfony, Laravel or Doctrine. Even code taking advantage of magic methods and properties is understood well. -
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Adonis Core
The Node.js Framework highly focused on developer ergonomics
AdonisJS includes everything you need to create a fully functional web app or an API server. So stop wasting hours downloading and assembling hundreds of packages. Use AdonisJS and be productive from day one. AdonisJS is not a minimalist framework. To give your projects a head start, we pack many baseline features within the core of the framework. AdonisJS has a feature-rich routing layer with support for route groups, subdomain-based routing, and resource resources. Controllers are first... -
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DIG
A library for graph deep learning research
... your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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libjpeg-turbo
SIMD-accelerated libjpeg-compatible JPEG codec library
libjpeg-turbo is a JPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems. On such systems, libjpeg-turbo is generally 2-6x as fast as libjpeg, all else being equal. On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals... -
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Eleana
Program for the analysis of spectroscopic data, in particular EPR(ESR)
Eleana is a program for manipulating, modifying and analyzing various spectroscopic data, in particular electron paramagnetic resonance spectra. It allows you to import data from Bruker spectrometers such as Elexsys or EMX and data from any ASCII file or imported from the clipboard. The program is under constant development, but already has many functions implemented for spectral analysis. Some of the basic functions include: baseline corrections, filtering, spectral clipping, integration... -
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IONe
ION experimental baseline
The intent of the IONe project is to construct and manage an integrated baseline of Interplanetary Overlay Network (ION) software that includes features which provide potentially useful functionality but are not yet mature enough to be integrated into NASA's operational ION baseline. The concept is that such an experimental code base, lightly regression-tested and packaged for distribution to the ION open-source community on a relatively rapid cadence, could be of value in non-NASA DTN... -
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TRAK Metamodel
Tuples (triples) for TRAK enterprise architecture viewpoints and views
The definition of the metamodel for TRAK (defines allowed AD elements and relationships i.e. tuples/ triples for the TRAK viewpoints and views). TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Forms basis for RDF + OWL ontology description - see https://trakmetamodel.sourceforge.io/vocab/TRAK_metamodel.html -
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crossfire-arch-retro
Extra image set for Crossfire RPG Game
A 24x24 tileset intended for use with Crossfire RPG Game servers. Many images were pulled from old versions of the game (0.92.0 was a specific baseline). As of Crossfire RPG Game 1.75.0, the GTK2 client supports non-32x32 tileset sizes. The tileset has not been tested on JXClient, so it is unclear whether it works there or not. -
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Johnny-Five
JavaScript Robotics and IoT programming framework
Johnny-Five is the JavaScript Robotics & IoT Platform. Released by Bocoup in 2012, Johnny-Five is maintained by a community of passionate software developers and hardware engineers. Over 75 developers have made contributions towards building a robust, extensible and composable ecosystem. The only kit designed for getting started with Johnny-Five! The Johnny-Five Inventor's Kit, from Bocoup and SparkFun, is now available! It's designed for anyone who wants to get started with... -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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Pinning Service API Spec
Standalone, vendor-agnostic Pinning Service API for IPFS ecosystem
A pinning service is a service that accepts CIDs from a user in order to host the data associated with them. The rationale behind defining a generic pinning service API is to have a baseline functionality and interface that can be provided by pinning services, so that tools can be built on top of a common base of functionality.