Search Results for "network graph analysis" - Page 13
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Showing 902 open source projects for "network graph analysis"
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Active Intelligence Server
Reporting, Dashboarding, Analytic, Self-service BI, Ad-hoc reporting
Active Intelligence Server 2 (AIS) is a data visualization tool and fully featured reporting server which enable users from open source community to host any reports created using BIRT, Jasper and Pentaho community edition allowing organization to leverage open source technologies and enable them to use AIS as a reporting server to deploy their existing and new reports seamlessly onto AIS for secure sharing the information in different file formats and schedule to make system automation and... -
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Grinn
graph database and R package for omic data integration
http://kwanjeeraw.github.io/grinn/ -
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PumpedUp
Performance monitoring and logging software for Linux and Windows.
PumpedUp gathers system performance data on a second by second basis and creates real time or static graphical web pages. It can quickly point out maximized resources on a system. It also has options for sending data to Redis / Logstash for analysis, or Nagios for alarming. PumpedUp runs an insecure web server on port 8080 by default and requires you to provide your own security for that port. You can disable this functionality by editing the PumpedUp configuration file. After... -
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Cuckoo Sandbox
Cuckoo Sandbox is for automated analysis of malware
Cuckoo Sandbox uses components to monitor the behavior of malware in a Sandbox environment; isolated from the rest of the system. It offers automated analysis of any malicious file on Windows, Linux, macOS, and Android. -
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OptFlux is an open-source and modular software aimed at being the reference computational application in the field. It is the first tool to incorporate strain optimization tasks, i.e., the identification of Metabolic Engineering targets.
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SLING
A natural language frame semantics parser
The aim of the SLING project is to learn to read and understand Wikipedia articles in many languages for the purpose of knowledge base completion, e.g. adding facts mentioned in Wikipedia (and other sources) to the Wikidata knowledge base. We use frame semantics as a common representation for both knowledge representation and document annotation. The SLING parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic... -
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gvSIG CE (Community Edition)
The full-featured, easy-to-use desktop GIS with real processing power!
The Community Edition (gvSIG CE) is a fork of the gvSIG desktop GIS project (http://www.gvsig.org). It is open to external contributors and fully community-driven. Our official releases are designed to be portable and include all necessary binaries for Linux, Mac OS X and Windows. No installation necessary: Just download, unpack and run! -
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BioNet-Finder
Network-based modeling and analysis for complex biological data
...This is carried out applying network analysis methods from different fields, such as Structural Equation Modeling (SEM), together with data reduction algorithms (e.g., random walkers, spectral analysis, shortest path-based or topology-based algorithms). The BioNet-Finder project is at its initial steps, and it will continuously update with new methods and code. -
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PCAPAnalyzer
Network traffic analysis from PCAP format
...It was developped to help understanding complex network routing problems, where packets could arrive out-of-order, some were lost, or duplicated. Network analysis needed to synchronize capture on a local (destination) and remote (source) computers and display warning messages while recording traffic in PCAP format for offline analysis. PCAPAnalyzer is typically used piped to tcpdump to show warnings on console, with the possibility to replay traffic later, with different Filters. -
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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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popt4jlib
Parallel Optimization Library for Java
...Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known network flow and other graph algorithms. A fast parallel implementation of the network simplex method, and some full-fledged parallel/distributed MIP solvers will be added in the next version. In general, emphasis is given in improving the efficiency of the algorithms in shared-memory models via java threads, since multi-core machines are so wide-spread today. -
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CoFIM: Com-based Framework for Influ Max
CoFIM: A community-based framework for influence maximization on large
This is the source code of our submitted paper titled "CoFIM: A community-based framework for influence maximization on large-scale networks". Please do not use the code for commercial purpose. -
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Psygraph
Code for the Psygraph mobile application
...It provides objective measurements of what you spend your time doing, and where you do it. Your location can be monitored using either GPS or cell network sources. -
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PassGAN
A Deep Learning Approach for Password Guessing
...The maintainer also documented experimental results and questioned how the approach compared with established RNN and Markov methods. Because generated candidates can be used in password-recovery attacks, the software is most appropriate for authorized security research and password-strength analysis. -
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Network software for annotation and quality control of distributed data. Supported by NSF: DBI 0646266 and NSF: DBI 0960535. http://wiki.filteredpush.org
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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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Advanced Persistent Security
Advanced Persistent Threat Security
The architecture of the system is integrated by different Fingerprinting mechanisms. The system is designed from a core that avoids the detection of sdhash and Memory analysis Built-in security, allows anonymous browsing by filtering requests external identification, Exit Tor Nodes and using the TOR Fingerprinting structure The system is designed to navigate without being detected or registered by any search engine or online platform denying all types of response to servers, The... -
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PanOCT
Pan-genome Ortholog Clustering Tool
PanOCT, Pan-genome Ortholog Clustering Tool, is a program written in PERL for pan-genomic analysis of closely related prokaryotic species or strains. Unlike traditional graph-based ortholog detection programs, it uses micro synteny or conserved gene neighborhood (CGN) in addition to homology to accurately place proteins into orthologous clusters. -
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mapDIA
Model-based Analysis of quantitative Proteomics data in DIA-MS
mapDIA performs essential data preprocessing, including novel retention time-based normalization method and a sequence of peptide/fragment selection steps, and more importantly, hierarchical model-based statistical significance analysis for multi-group comparisons under representative experimental designs. The advanced modelling technique also allows the user to incorporate relational information such as existing network data or protein-peptide mapping, enabling module-oriented analysis of differential expression. -
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CG-FCA is a program that converts Conceptual Graph files in the .cgif format and 3 column csv files to Formal Context files in the .cxt format, for Formal Concept Analysis (FCA). CG-FCA also reports various graph features (such as cycles) and carries out joins of co-referent concepts and relations.
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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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GRASSMARLIN
Provides situational awareness of Industrial Control Systems (ICS)
GRASSMARLIN provides IP network situational awareness of industrial control systems (ICS) and Supervisory Control and Data Acquisition (SCADA) networks to support network security. Passively map, and visually display, an ICS/SCADA network topology while safely conducting device discovery, accounting, and reporting on these critical cyber-physical systems. -
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EDCC-CNG
Exploration and categorization of CREs and CRMs
Cis-regulatory elements (CREs) and cis-regulatory modules (CRMs) play an important role in temporal and spatial regulation of gene expression, which is a common process in eukaryotic organisms. We developed two programs that serve as exploratory tools in the analysis of CRM-mediated control of gene expression: “Exploration of Distinctive CREs and CRMs” (EDCC) and “CRM Network Generator” (CNG). EDCC correlates the presence and positions of CREs/CRMs with gene expression data and identifies candidate regulatory elements for further functional analysis. CNG provides an unbiased neural network approach to assess the importance of positional features that were determined by EDCC. ...
