Search Results for "jack-graph" - Page 22
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Showing 2173 open source projects for "jack-graph"
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DeepKE
An Open Toolkit for Knowledge Graph Extraction and Construction
Supporting cnSchema, standard supervised setting, low-resource setting, document-level setting and multi-modal setting for knowledge base population. DeepKE is a knowledge extraction toolkit supporting cnSchema, standard supervised, low-resource, and document-level scenarios for entity, relation, and attribution extraction. It allows developers and researchers to customize datasets and models to extract information from unstructured texts. DeepKE supports low-resource settings with only a... -
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funNLP
Resources, corpora, and tools for Chinese natural language processing
FunNLP is a large, curated collection of resources, corpora, and tools for Chinese natural language processing (NLP). It aggregates datasets, lexicons, wordlists, sentiment dictionaries, knowledge graphs, and pretrained model references, serving as a one-stop resource hub for Chinese NLP practitioners. The repository is organized into categories such as sentiment analysis, text classification, named entity recognition, knowledge graphs, and various lexicons (e.g. sensitive words, emotion... -
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Symja Java Computer Algebra
Symja - Java computer algebra language & symbolic math library
Symja - computer algebra language and Java symbolic math library. Moved to https://github.com/axkr/symja_android_library. The Android App can be found at: https://github.com/axkr/symja-example -
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Simple vector graphics editor for creating flowcharts, diagrams and slide shows.
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Coca
Coca is a toolbox which is design for legacy system refactoring
Coca is a toolbox that is design for legacy system refactoring and analysis, including call graph, concept analysis, api tree, and design patterns suggestions. Requirements: graphviz for dot file to image (such as svg, png). The easiest way to get coca is to use one of the pre-built release binaries which are available for OSX, Linux, and Windows on the release page. -
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dorban
A demo for the Svarog AI library.
...The Svarog AI library contains a new optimization algorithm based on so called hidden variables. In order to achieve the objective Dorban will try to convince Pregor to accompany him, and together they will try to find the vampire in a graph with 5 city nodes. When accompanying Dorban use menu item "follow orders" to follow his orders. -
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Glove
Data analysis tool
Glove provides an interface to data acquisition systems, sophisticated (and correct) statistical analysis, a plotting tool, and the ability to easily manipulate the data. Its modular design allows plug-ins for acquisition, manipulation, and analysis. ChangeLog: http://glove.sourceforge.net/ChangeLog.html -
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AminePlatform
Amine is a Multi-Layer Platform for the dev. of Intelligent Systems
Amine is an Artificial Intelligence Multi-Layer Java Open Source Platform dedicated to the development of various kinds of Intelligent Systems and Agents (Knowledge-Based, Ontology-Based, Conceptual Graph -CG- Based, NLP, Reasoning and Learning, Natural Language Processing, etc.). Ontology, KB can be created and manipulated with various processes. CG theory is used as the main knowledge representation language. Amine provides two languages: PROLOG+CG which extends PROLOG with CG and Amine modules, and SYNERGY which is a visual activation/propagation based language. ... -
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flot
Attractive JavaScript charts for jQuery
Flot is a pure JavaScript plotting library for jQuery, with a focus on simple usage, attractive looks and interactive features. Works with Internet Explorer 6+, Chrome, Firefox 2+, Safari 3+ and Opera 9.5+. Additional examples are bundled with Flot. Also take a look at the Flot Usage Wiki for screenshots and stories from people and companies using Flot. Take a look at the the examples in examples/index.html; they should give a good impression of what flot can do, and the source code of the... -
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Lightning Bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers
Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production. Torch ORT converts your model into an optimized ONNX graph, speeding up training & inference when using NVIDIA or AMD GPUs. We can introduce sparsity during fine-tuning with SparseML, which ultimately allows us to leverage the DeepSparse engine to see performance improvements at inference time. -
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to provide a simple but flexible framework for creating graph neural networks (GNNs). You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs. -
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hloc
Visual localization made easy with hloc
...It implements Hierarchical Localization, leveraging image retrieval and feature matching, and is fast, accurate, and scalable. This codebase won the indoor/outdoor localization challenges at CVPR 2020 and ECCV 2020, in combination with SuperGlue, our graph neural network for feature matching. We provide step-by-step guides to localize with Aachen, InLoc, and to generate reference poses for your own data using SfM. Just download the datasets and you're reading to go! The notebook pipeline_InLoc.ipynb shows the steps for localizing with InLoc. It's much simpler since a 3D SfM model is not needed. ... -
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BloodHound Legacy
Six Degrees of Domain Admin
BloodHound Legacy is the deprecated open‑source version of the BloodHound Active Directory attack path analysis tool. It uses graph theory to model and visualize privileged relationships in AD, Entra ID, and Azure environments. Security professionals use it to enumerate domain privilege escalation paths, misconfigurations, and attack surfaces in corporate networks -
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YCharts
YCharts is a graph library for Android
YCharts is a Jetpack-compose-based charts library that enables developers to easily integrate various types of charts/graphs into their existing UI to visually represent statistical data. YCharts supports both cartesian(XY-charts) and polar charts(Radial charts). -
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Floyd is a collection of 3D libraries, mathematics and scene libraries and utilities. The main parts of it are geometry library Elea, OpenGL scene graph library Miletos and posing application Khayyam.
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DirCBMLister
Plugin for TotalCommander to list Commodore disk images
...Currently the following disk image formats are supported: -D64 (1541 images incl. 40 track formats) -D71 (1571 images) -D80 (8050 images) -D81 (1581 images) -D82 (8250 images) Functions: ---------- - view the disk images with the original C64 char set - gives additional info about the disk image like format, D64 40-track type and if error info is available - use it with F3 or Ctrl-Q - shows BAM and error map too - switch between Upper/Graph, Lower/Upper char sets, BAM and error map (if available) with the word wrap key 'w' -
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Svelvet
A library for building dynamic, infinitely customizable interfaces
Build interactive, node-based UIs and diagrams in Svelte. Svelvet is a lightweight component library for building dynamic, customizable node graphs. Svelvet allows you to easily create intuitive user interfaces and diagrams with pre-built components with node-to-node data flow, seamless zooming and panning, customizable edges and nodes and more. Start mapping out your ideas with our NPM package. Simply provide your node data to the Svelvet component and you're ready to show off your... -
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PZEM-004T PC interface app
PC application for PZEM-004T energy meters (RS-232 or RS-485)
...Voltage, Current, Power and Energy. Each parameter has “Log” checkbox which enables data logging into the text field at the bottom of the application window. Each parameter has “Graph” checkbox, but only one of them (any one) could be checked at the moment. If any parameter has “Graph” and “Enable” checkboxes checked then the value of this parameter is plotted on the graph. Graph is capable of plotting last 180 points of data only. Some delays and timeouts could be adjusted in the menu under “settings” button. -
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Tributary
Streaming reactive and dataflow graphs in Python
Tributary is a library for constructing dataflow graphs in Python. Unlike many other DAG libraries in Python (airflow, luigi, prefect, dagster, dask, kedro, etc), tributary is not designed with data/etl pipelines or scheduling in mind. Instead, tributary is more similar to libraries like mdf, loman, pyungo, streamz, or pyfunctional, in that it is designed to be used as the implementation for a data model. One such example is the greeks library, which leverages tributary to build data models... -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. -
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BloodHound
Six Degrees of Domain Admin
BloodHound is a single-page Javascript web application, built on top of Linkurious, compiled with Electron, with a Neo4j database fed by a C# data collector. BloodHound uses graph theory to reveal the hidden and often unintended relationships within an Active Directory or Azure environment. Attackers can use BloodHound to easily identify highly complex attack paths that would otherwise be impossible to quickly identify. Defenders can use BloodHound to identify and eliminate those same attack paths. Both blue and red teams can use BloodHound to easily gain a deeper understanding of privilege relationships in an Active Directory or Azure environment. ... -
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OGB
Benchmark datasets, data loaders, and evaluators for graph machine
...We expect the benchmark datasets to evolve. OGB provides a diverse set of challenging and realistic benchmark datasets that are of varying sizes and cover a variety graph machine learning tasks, including prediction of node, link, and graph properties. OGB fully automates dataset processing. The OGB data loaders automatically download and process graphs, provide graph objects that are fully compatible with Pytorch Geometric and DGL. OGB provides standardized dataset splits and evaluators that allow for easy and reliable comparison of different models in a unified manner. -
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Hyperformer
Hypergraph Transformer for Skeleton-based Action Recognition
This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition." Skeleton-based action recognition aims to recognize human actions given human joint coordinates with skeletal interconnections. By defining a graph with joints as vertices and their natural connections as edges, previous works successfully adopted Graph Convolutional networks (GCNs) to model joint co-occurrences and achieved superior performance. More recently, a limitation of GCNs is identified, i.e., the topology is fixed after training. To relax such a restriction, Self-Attention (SA) mechanism has been adopted to make the topology of GCNs adaptive to the input, resulting in the state-of-the-art hybrid models. ... -
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MiniChain
A tiny library for coding with large language models
...Developers annotate ordinary functions to define model calls while keeping prompt templates separate from application logic. Multiple functions can be chained so the output of one model or tool becomes the input to another. The library records calls as a graph, making intermediate steps easier to inspect, debug, and retry. It includes model abstractions for language models as well as tools such as Python execution. A browser interface can display examples, subprompts, outputs, and queued runs for interactive demonstrations. The project emphasizes readable code and lightweight experimentation rather than a large production framework.
