Search Results for "jack-graph" - Page 27
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Showing 1665 open source projects for "jack-graph"
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TextGrapher
Text Content Grapher based on keyinfo extraction by NLP method
TextGrapher is a Python project that converts unstructured Chinese text into a structured semantic graph. It extracts high-frequency terms, keywords, named entities, and subject-verb-object phrases from an input document. The system then organizes these elements into connected nodes and relationships for visual inspection. Generated results are saved as an HTML graph that can be opened in a browser. The repository includes parsing, keyword extraction, graph construction, and visualization scripts. ... -
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tournesol_gl02
A tool to analyze Twitter brand activity
This tool is a CLI interface to query Twitter's API data to extract valuable information : - Top 10 authors for a specific day - Hashtags associated with a reference hashtag - Top 10 hastags for a specific day - Number of tweets during a specific period of a specific day for a specific author - Number of tweets during a specific period of a specific day for a specific hashtag - Number of tweets per city - Display a graph of the number of tweets per city -
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PGAP-X
PGAP-X is a microbial comparative genomic analysis platform with graph
PGAP-X is a microbial comparative genomic analysis platform with graphic interface. -
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jack-keyboard is a virtual MIDI keyboard - a program that allows you to send JACK MIDI events (play ;-) using your PC keyboard. It's BSD-licensed. User interface is GTK-based.
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xeogl
A WebGL-based 3D engine for technical visualization
xeogl is an open source JavaScript library from xeolabs for 3D model visualization on WebGL. It gives you tools to create interactive 3D worlds in your browser. Load models from formats like glTF or OBJ, or generate them programmatically. Navigate them with the camera and script them with Javascript, to build compelling 3D presentations. Load multiple models. Isolate/move/emphasize objects. Camera navigation controls. Camera animations (flyto, follow, path etc). Emphasis effects (wireframe,... -
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Quesa
3D rendering and scene graph library (moved to GitHub)
High-level 3D graphics library. Supports retained and immediate mode rendering, an extensible file format, plug-in renderers, a wide range of high level geometries, hierarchical models, and a consistent and object-orientated API. -
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Novembre
STM data analysis
A tool for visualisation and analysis of STM and STS results. Currently supports RHK, WinSPM, Nanonis and Createc file formats. Other formats can be added. Tools are made available by plugins and are currently focused on spectroscopy manipulation. -
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lottie vectors
Create, display and process 2D vectors in a 3D window.
Lottie Vectors is an application for Matlab that alows you to do some pretty neat things -with vectors. More exactly -displaying them in ways that hopefully will allow you to explore and better understand your vector data. The basic idea is simple, take a vector defined in one of a few different types of data formats and map it on the screen. Add another vector and you start to form a 'route'. Each route or position vector can be accompanied with a 'force' vector. This can be used to... -
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awless
A mighty CLI for AWS
...Ex: ensure smart defaults, security best practices, etc. Local log of all your cloud modifications done through awless to list/revert past actions. sync to a local graph storage of your cloud representation. Exploration of your cloud infrastructure and resources interrelations, even offline using the local graph storage. Clearer and flexible terminal output's with: numerous formats (machine/human-friendly), enriched resources' properties/relations when feasible. -
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This API allows to fill n-ary tree data structure (which is a Directed Acyclic Graph) based on coherent in-memory input (text). Since version 2.0, this API allows to load the tree from an SQL database (SQL Unary Relation). This project is available on maven: https://mvnrepository.com/artifact/net.sf.treeds4j/treeds4j
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Cosmos DB Spark
Apache Spark Connector for Azure Cosmos DB
Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data. -
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TensorFlow Internals
Open source ebook about TensorFlow kernel and implementation
It is open source ebook about TensorFlow kernel and implementation mechanism, including programming model, computation graph, and distributed training for machine learning. -
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Grinn
graph database and R package for omic data integration
http://kwanjeeraw.github.io/grinn/ -
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CFNet
Training a Correlation Filter end-to-end allows lightweight networks
CFNet is the official implementation of End-to-end representation learning for Correlation Filter based tracking (CVPR 2017) by Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, and Philip H. S. Torr. The framework combines correlation filters with deep convolutional neural networks to create an efficient and accurate visual object tracker. Unlike traditional correlation filter trackers that rely on hand-crafted features, CFNet learns feature representations directly from data in an end-to-end fashion. ... -
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Coin3D
Implemention of SGI's Open Inventor.
This project is a fork of the Coin 3D library located at https://bitbucket.org/Coin3D. It includes modifications to support the Wizzer Works Magic Lantern project. -
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SysUsage is a system monitoring and alarm reporting tool. It can generate historical graph views of CPU, memory, IO, network and disk usage, and very much more.
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Meraculous-2D
Eukaryotic Genome Assembler
---------------------------------------- IMPORTANT: Meraculous-2D has been superseded by the HipMer assembler, available here: https://sourceforge.net/projects/hipmer/ ----------------------------------------- Meraculous-2D is a whole genome assembler for NGS reads (Illumina) that is capable of assembling large, diploid genomes with modest computational requirements. Features include: - Efficient k-mer counting and deBruijn graph traversal - Two modes of handling of diploid allelic variation - Improved scaffolding that produces more complete assemblies without compromising scaffolding accuracy. The assembly is driven by a perl pipeline which performs data fragmentation and load balancing, as well as submission and monitoring of multiple task arrays on a GE/SLURM-type cluster or a standalone multi-core server. ... -
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SLING
A natural language frame semantics parser
...We do not yet have a full system that can extract facts from arbitrary text, but we have built a number of the subsystems needed for such a system. The SLING frame store is our basic framework for building and manipulating frame semantic graph structures. The Wiki flow pipeline can take a raw dump of Wikidata and convert this into one big frame graph. -
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TSP Solver and Generator
Generate and solve Travelling Salesman Problem tasks
...The matrix can be populated with random values in a given range (useful for generating tasks). The result is an optimal route, its price, step-by-step matrices of solving and solving graph. The task can be saved in internal binary format and opened later. The result can be printed or saved as PDF, HTML, or ODF. TSPSG may be useful for teachers to generate test tasks or just for regular users to solve TSPs. Also, it may be used as an example of using Branch and Bound method to solve a particular task. -
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Easy Machine Learning
Easy Machine Learning is a general-purpose dataflow-based system
...Our platform Easy Machine Learning presents a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real-world tasks. In the system, a learning task is formulated as a directed acyclic graph (DAG) in which each node represents an operation (e.g. a machine learning algorithm), and each edge represents the flow of the data from one node to its descendants. -
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Ethereum Mining NVIDIA Graph Card Ubuntu
USB flash drive ISO image for Ethereum, Zcash and Monero mining
USB flash drive ISO image for Ethereum mining with NVIDIA graphics cards and Ubuntu GNU/Linux (64-bit Intel/AMD (x86_64)). Other cryptocurrencies, such as Monero or Zcash, can also be mined. With this ISO image, you can immediately mine Ethereum (ETH). Do not spend long time searching and researching. If you do not trust me and do not want to use the image, you will find all configuration files and scripts in the files folder. You only have to install an Ubuntu Linux with all the drivers and... -
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Prolog+CG is a Java implementation of Prolog with extensions implementing a subset of the Conceptual Graph (CG) theory of John Sowa. CGs are first-class datatypes on a par with terms. Object oriented extensions are also included.
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test-tlb
Stupid memory latency and TLB tester
...The code is useful for teaching, hardware bring-up, or validating assumptions about huge pages and NUMA placement. Rather than providing a plotting framework, it prints timings that you can collect and graph with external tools to visualize cache/TLB boundaries. -
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SLAM++
high-performance nonlinear least squares solver for graph problems
SLAM++ is a minimalist implementation of incremental nonlinear least squares, containing lighting fast implementation of linear algebra on sparse block matrices. It is aimed for use in 3D reconstruction or robotics. -
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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.
