Search Results for "dinkumware c library"
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Showing 6 open source projects for "dinkumware c library"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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smartIDS
Lightweight intrusion detection for IoT and embedded devices.
The aim of the project is a lightweight intrusion detection library for embedded devices which supports MSP430 and ARM Cortex based devices. Features include DSP/SIMD support, IoT and embedded protocols, distributed operation, event and history management, tool supported configuration and visualization. There is a Java port that supports less features. -
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YANG (Yet Another Network Generator - Java) enables you to generate social networks given various social rules observed in the real population. Uses: generate realistic networks to be used in individual-centric models, teaching or benchmarking.
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Implementation of "online" erasure codec for Hadoop Distributed File System (HDFS). It contains native C library integrated with Java code base of HDFS.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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The project contains algorithms for locating the most central groups in complex networks. In particular implementations of various centrality measures and heuristic search algorithms. All functionality is exposed via XML-RPC for easier exploitation.
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
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