Search Results for "network graph analysis" - Page 5
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Showing 279 open source projects for "network graph analysis"
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UDPStressTest
A Desktop app for network stress testing, TCP-Ping and icmp ping.
... * You can see your machine IP Address, gateway, subnet mask. * You can ping any ip address you want and get measure of TTL. * It gets the available range of IP's in your local network. * When you start the test you see testing throughput as a graph against time also total size of packet sent in (MB). *You can use it as DOS attack tool. *Every action done on the app is logged in XML file as data source (only stress test + ping). *TCP-Ping is a perfect way to discover network devices which active firewall to ignore ping packets or you can use it as TCP port scanner to check your network security. ... -
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Bender
Easily craft fast Neural Networks on iOS
...Bender provides the ease of use of CoreML with the flexibility of a modern ML framework. Bender allows you to run trained models, you can use Tensorflow, Keras, Caffe, the choice is yours. Either freeze the graph or export the weights to files. You can import a frozen graph directly from supported platforms or re-define the network structure and load the weights. Either way, it just takes a few minutes. Bender suports the most common ML nodes and layers but it is also extensible so you can write your own custom functions. With Core ML, you can integrate trained machine learning models into your app, it supports Caffe and Keras 1.2.2+ at the moment. ... -
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bugst
Do you want to implement your new program analysis quicky? Use bugst!
...Bugst's important content: * lonka - Control-flow graph based program representation. * symtex - Program analysis called Symbolic Execution * cosymtex - Program analysis called Compact Symbolic Execution * segy - Symbolic Memory with pointers and pointer arithmetic * llvm2celllvm - Translates LLVM to constant-expressions-less LLVM. * celllvm2lonka - Translates constant-expressions-less LLVM into Lonka -
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract informative features, and a final softmax classifier to distinguish between target classes. It includes data preprocessing helpers, training scripts, and configuration options so developers can experiment with different filter sizes, dropout rates, and hyperparameters to optimize performance for their dataset. -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
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MicroCity is a framework for spatial analysis and simulation. It is lightweight, fast, portable, extendable and user friendly. Users can easily operate large GIS and Grid data and perform Spatial, Fractal, Network analysis and simulation.
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BinNavi
BinNavi is a binary analysis IDE that allows to inspect, navigate, etc
BinNavi is a binary analysis IDE - an environment that allows users to inspect, navigate, edit, and annotate control-flow-graphs of disassembled code, do the same for the callgraph of the executable, collect and combine execution traces, and generally keep track of analysis results among a group of analysts. BinNavi uses a commercial third-party graph visualisation library (yFiles) for displaying and laying out graphs. -
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cnn-benchmarks
Benchmarks for popular CNN models
The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency. The project focuses on reproducibility, allowing consistent comparisons between models and environments. It is particularly useful for testing GPUs and... -
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EntOpt Layout
Relative entropy optimization network layout plugin
The goal of this project is to implement a graph layout / network visualization algorithm as a Java plugin for Cytoscape (http://cytoscape.org/), using a recently published relative entropy optimization based method, called Unified Data Representation (Kovács IA et al. Sci Rep. 2015). If you are using the plugin, please cite: Ágg B, Császár A, Szalay-Bekő M, Veres DV, Mizsei R, Ferdinandy P, Csermely P and Kovács IA (2019) The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks, Bioinformatics 35(21):4490-4492 https://academic.oup.com/bioinformatics/article/35/21/4490/5475596 Our detailed Tutorial on the use of the plugin: https://suopte.com/entopt_2_1_tutorial_20200518.pdf A video about the version 2.1: http://suopte.com/entopt_2_1_tutorial_video.mp4 Don't hesitate to send any questions, comments or bug reports also to agg.bence {at} med.semmelweis-univ.hu. -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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Needle
The iOS Security Testing Framework
Needle is an open-source, modular framework to streamline the process of conducting security assessments of iOS apps. Needle was originally made to work with iOS 9 and iOS 10. Since then, Frida was released and become the defacto tool to use with mobile security assessments. Some common Frida mobile security scripts were later implemented within Needle, as some of these scripts worked better or addressed some issues that were present in Needle's custom tooling. Assessing the security of an... -
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RIPS - PHP Security Analysis
Free Static Code Analysis Tool for PHP Applications
RIPS is a static code analysis tool for the automated detection of security vulnerabilities in PHP applications. It was released 2010 during the Month of PHP Security (www.php-security.org). NOTE: RIPS 0.5 development is abandoned. A complete rewrite with OOP support and higher precision is available at https://www.ripstech.com/next-generation/ -
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PhpDependencyAnalysis
Static code analysis to find violations in a dependency graph
PhpDependencyAnalysis is an extendable static code analysis for object-oriented PHP-Projects to generate dependency graphs from abstract datatypes (Classes, Interfaces and Traits) based on namespaces. Dependencies can be aggregated to build graphs for several levels, like Package-Level or Layer-Level. Each dependency can be verified to a defined architecture. -
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Satsuma .NET Graph Library
a delicious .NET graph library
Satsuma is a graph library for .NET, written in C#. Satsuma is an easy-to-use and flexible library, which implements all the necessary graph structures, and the fastest possible graph algorithms. DOCUMENTATION: http://satsumagraph.sourceforge.net/ Satsuma is not a charting library. 'Graph' is used in the mathematical sense here (e.g. nodes connected with arcs). Satsuma is released under the zlib license. This license is very permissive and allows you to use Satsuma for both personal... -
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Netty Learning
Web application framework for Java
...Its purpose is educational source-code analysis rather than providing a new networking framework. -
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Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for data mining and discovery knowledge in data (http://knnl.sf.net).
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luzienseditor
LuziensEditor ist eine kleine IDE für Java, C/C++, und Webentwicklung
LuziensEditor ist eine kleine IDE für Java, C/C++, und Webentwicklung mit einigen Besonderheiten. - Direkter Zugriff auf XAMPP - Eigene Konsole - Syntax highligts - Eigene Versionsverwaltung - Programme als Debian Paket verpacken - ... -
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Sniffer4J
A java packet sniffer and forger that wraps pcap libs.
Sniffer4J is a java packet capture and manipulation tool that allows full analysis of a network. It is built upon pcap libs (winpcap, and libpcap) and can run in Windows and most Linux flavors. The current stable version (2.0) provides shared libraries (.dll and .SO) compiled and tested for both x86 and x64 architectures. Sniffer4J work’s by parsing packets in a comprehensive Pdu format. Each Pdu encapsulates the next one, making easy to navigate through the Frame. ... -
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CANStream
An applicaton for CAN bus coms development, testing and validation
...Extended data logging and data analysis features of CANStream provide a comprehensive solution for testing and results analysis CANStream extensively uses the PCAN-Basic API developed by PEAK System for the PCAN-USB adapter You will therefore need to have PCAN-USB adapter and at least one free USB port available to make a complete use of CANStream. CANStream can manage up to eight PCAN-USB adapters at the same time, thus you will need eight USB ports available. -
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ABTestingGateway
Identify and bypass network-level A/B testing and gateway behavior
ABTestingGateway is a tool developed by China's National Security Research Institute (CNSRE) to identify and bypass network-level A/B testing and gateway behavior often used in censorship systems. It performs dynamic analysis and comparison of network paths to detect content filtering and manipulation strategies employed by intermediate network devices. -
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...From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
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The Dataverse Network is a Java EE5 app that enables researchers to share data on-line. It provides data citation standards, facilitates preservation, distribution and replication of data, and includes statistical analysis. More at: http://thedata.org
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Awesome Recurrent Neural Networks
A curated list of resources dedicated to RNN
A curated list of resources dedicated to recurrent neural networks (closely related to deep learning). Provides a wide range of works and resources such as a Recurrent Neural Network Tutorial, a Sequence-to-Sequence Model Tutorial, Tutorials by nlintz, Notebook examples by aymericdamien, Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow, Keras (Tensorflow / Theano)-based modular deep learning library similar to Torch, char-rnn-tensorflow by sherjilozair, char-rnn... -
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Korat2015
Enhanced Korat supports GUI, FSM, JUNG and JSON.
...Please see http://korat.sourceforge.net/index.html for more information on the Korat application. Korat 2015 includes the below enhancements to Korat: - Graphical User Interface using Java Swing - Graph Output Format using JUNG (Java Universal Network/Graph Framework) - Finite State Machine Domain - Graph Archival using JSON (JavaScript Object Notation) The Wiki page has information to download, install and run Korat 2015. -
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Automalator
State Dependency deconstructor and mapper for C source code.
Flowcharts not telling you what you want to know about some C source code? Try a State Dependency map! Every C source file is an implemention of a state machine. Implicit in the definition of a state machine is a network of dependencies between the states. The Automalator * deconstructs the C code into the core state machine * collates the transactions into the dependency net * generates a diagram-format file with the states and dependencies as the nodes and edges. ...
