Search Results for "autoscan-network" - Page 15
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Showing 27055 open source projects for "autoscan-network"
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Top-Rated Free CRM SoftwareHubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Homebridge Docker Image
HomeKit support for the impatient using Docker on x86_64
This Ubuntu Linux based Docker image allows you to run Nfarina's Homebridge on your home network which emulates the iOS HomeKit API. This is a multi-arch image and will run on x86_64, Raspberry Pi 2, 3, 4, Zero 2 W, or other Docker-enabled ARMv7/8 devices. Docker will automatically pull the correct image for your system. Homebridge requires full access to your local network to function correctly. This image will not work when using Docker for Mac or Docker for Windows. The parameters are split... -
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Secdev Scapy
Scapy: the Python-based interactive packet manipulation program
Scapy is a powerful interactive packet manipulation libary written in Python. Scapy is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more. Scapy can be used as a REPL or as a library. It provides all the tools and documentation to quickly add custom network layers. Scapy runs natively on Linux, macOS, most Unixes, and on Windows with Npcap. It is published under GPLv2. Starting from version 2.5.0... -
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Toxiproxy
A TCP proxy to simulate network and system conditions for chaos
Toxiproxy is a framework for simulating network conditions. It's made specifically to work in testing, CI and development environments, supporting deterministic tampering with connections, but with support for randomized chaos and customization. Toxiproxy is the tool you need to prove with tests that your application doesn't have single points of failure. We've been successfully using it in all development and test environments at Shopify since October, 2014. See our blog post on resiliency... -
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Swarm Bee
Bee is a Swarm client implemented in Go
Bee is a Swarm client implemented in Go. It’s the basic building block for the Swarm network: a private; decentralized; and self-sustaining network for permissionless publishing and access to your (application) data.There are two versioning schemes used in Bee that you should be aware of. The main Bee version does NOT follow strict Semantic Versioning. Bee hosts different peer-to-peer wire protocol implementations and individual protocol breaking changes would necessitate a bump in the major... -
Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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Axon
Nx-powered Neural Networks
... abstractions that enable easy integration while maintaining a level of separation between each component. You should be able to use any of the APIs without dependencies on others. By decoupling the APIs, Axon gives you full control over each aspect of creating and training a neural network. At the lowest-level, Axon consists of a number of modules with functional implementations of common methods in deep learning. -
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AIMET
AIMET is a library that provides advanced quantization and compression
Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. AIMET enables neural networks to run more efficiently on fixed-point AI hardware... -
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Opacus
Training PyTorch models with differential privacy
Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the client, has little impact on training performance, and allows the client to online track the privacy budget expended at any given moment. Vectorized per-sample gradient computation that is 10x faster than micro batching. Supports most types of PyTorch models and can be used with minimal modification to the original neural network. Open source... -
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PennyLane
A cross-platform Python library for differentiable programming
A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy... -
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Gen.jl
A general-purpose probabilistic programming system
... for writing down generative models, inference models, variational families, and proposal distributions using ordinary code. But it also lets users migrate parts of their model or inference algorithm to specialized modeling languages for which it can generate especially fast code. Users can also hand-code parts of their models that demand better performance. Neural network inference is fast, but can be inaccurate on out-of-distribution data, and requires expensive training. -
Red Hat Ansible Automation Platform on Microsoft AzureDeploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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amazon-vpc-cni-k8s
Networking plugin repository for pod networking in Kubernetes
Networking plugin repository for pod networking in Kubernetes using Elastic Network Interfaces on AWS. Launch kubelet with network plugins set to cni (--network-plugin=cni), the cni directories configured (--cni-config-dir and --cni-bin-dir) and node ip set to the primary IPv4 address of the primary ENI for the instance (--node-ip=$(curl http://169.254.169.254/latest/meta-data/local-ipv4)). It is also recommended that you set --max-pods equal to (the number of ENIs for the instance type... -
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Stellar Go
Stellar's public monorepo of go code
Creating equitable access to the global financial system. This repo is the home for all of the public Go code produced by the Stellar Development Foundation. This repo contains various tools and services that you can use and deploy, as well as the SDK you can use to develop applications that integrate with the Stellar network. Full-featured API server for Stellar network. This repository is officially supported on the last two releases of Go. In addition to the other top-level packages... -
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Urbit
An operating function
Urbit is a personal server stack built from scratch. It has an identity layer (Azimuth), virtual machine (Vere), and operating system (Arvo). A running Urbit "ship" is designed to operate with other ships peer-to-peer. Urbit is a general-purpose, peer-to-peer computer and network. Urbit is for everyone, but sometimes it is easy to get lost in this universe. It solves the hard problems of implementing a peer-to-peer network (including identity, NAT traversal, and exactly-once delivery... -
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Eclair
A scala implementation of the Lightning Network
Eclair (French for Lightning) is a Scala implementation of the Lightning Network. This software follows the Lightning Network Specifications (BOLTs). Other implementations include c-lightning, lnd, electrum, and rust-lightning. Eclair offers a feature-rich HTTP API that enables application developers to easily integrate. Eclair's JSON API should NOT be accessible from the outside world (similarly to Bitcoin Core API). Eclair requires Bitcoin Core 0.20.1 or 0.21.1. (other versions of Bitcoin... -
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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit... -
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Mock Service Worker
Seamless REST/GraphQL API mocking library for browser and Node.js
Mock by intercepting requests on the network level. Seamlessly reuse the same mock definition for testing, development, and debugging. A dedicated layer of requests interception at your disposal. Keep your application's code and tests unaware of whether something is mocked or not. Request the same production resources and test the actual behavior of your app. Augment an existing API, or design it as you go, when there is none. Use Express-like routing syntax to capture outgoing requests... -
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Tendermint
Tendermint Core (BFT Consensus) in Go
Tendermint Core is a Byzantine Fault Tolerant (BFT) middleware that takes a state transition machine, written in any programming language, and securely replicates it on many machines. Building the most powerful tools for distributed networks. We are Tendermint, a core contributor to the Cosmos Network. Powerful & secure software for the decentralized future. Tendermint has been in the production of private and public environments, most notably the blockchains of the Cosmos Network. we haven't... -
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning... -
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dockprom
Docker hosts and containers monitoring with Prometheus, Grafana, etc.
... cores, available memory, swap and storage. System load average graph, running and blocked by IO processes graph, interrupts graph. CPU usage graph by mode (guest, idle, iowait, irq, nice, softirq, steal, system, user). Memory usage graph by distribution (used, free, buffers, cached). IO usage graph (read Bps, read Bps and IO time). Network usage graph by device (inbound Bps, Outbound Bps). -
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Python Outlier Detection
A Python toolbox for scalable outlier detection
... network-based models, e.g., AutoEncoders, which are implemented in both PyTorch and Tensorflow. PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS. -
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POCO
Cross-platform C++ libraries for building network applications
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C... -
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IPFS JavaScript
IPFS implementation in JavaScript
... of the box on Node.js, Electron and any modern browser. It is also customizable by design so that you can use it on your favorite runtime. No feature was left behind. js-ipfs is not a light client, it is the full implementation of the IPFS protocol. IPFS nodes can create network topologies based on topics of interest to broadcast events in realtime. IPFS is designed to use the power of Content Addressing to find the nodes in the network that have the content you are looking for. -
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OpenAPI Specification (OAS)
Programming language-agnostic interface description for REST APIs
The OpenAPI Specification: a broadly adopted industry standard for describing modern APIs. The OpenAPI Specification (OAS) defines a standard, programming language-agnostic interface description for REST APIs, which allows both humans and computers to discover and understand the capabilities of a service without requiring access to source code, additional documentation, or inspection of network traffic. When properly defined via OpenAPI, a consumer can understand and interact with the remote... -
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DeepCTR
Package of deep-learning based CTR models
DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to easily build custom models. You can use any complex model with model.fit(), and model.predict(). Provide tf.keras.Model like interface for quick experiment. Provide tensorflow estimator interface for large scale data and distributed training. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based... -
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Awesome Prometheus Alerts
Collection of Prometheus alerting rules
Awesome Prometheus Alerts is a collection of pre-configured Prometheus alert rules, help users set up effective alerting for infrastructure monitoring. -
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MASVS
The OWASP MASVS (Mobile Application Security Verification Standard)
The OWASP Mobile Application Security Verification Standard (MASVS) is a comprehensive security standard for mobile applications, providing guidelines and a checklist for secure mobile app development.
