Search Results for "graph library" - Page 2
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Showing 64 open source projects for "graph library"
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1
ALEPH-w
Data structures and Algorithms library
Aleph-w is a library of data structures and algorithms implemented in and for C++. It contains the main data structures: single and double lists, special arrays (dynamic and of bits), many types of trees: multitrees, binary search trees, avl, red-black, randomized, treaps, splay and other interesting types. Several types of hash tables are implemented: separated chaining, open adressing with linear probing and double function hash; this last one has a garbage colector mechanism that... -
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Graphtage
A semantic diff utility and library for tree-like files such as JSON
Graphtage is a command-line utility and underlying library for semantically comparing and merging tree-like structures, such as JSON, XML, HTML, YAML, plist, and CSS files. Its name is a portmanteau of “graph” and “graftage”, the latter being the horticultural practice of joining two trees together such that they grow as one. Graphtage performs an analysis on an intermediate representation of the trees that is divorced from the filetypes of the input files. -
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Metatheory.jl
General purpose algebraic metaprogramming
Metatheory.jl is a general purpose term rewriting, metaprogramming and algebraic computation library for the Julia programming language, designed to take advantage of the powerful reflection capabilities to bridge the gap between symbolic mathematics, abstract interpretation, equational reasoning, optimization, composable compiler transforms, and advanced homoiconic pattern matching features. The core features of Metatheory.jl are a powerful rewrite rule definition language, a vast library of functional combinators for classical term rewriting and an e-graph rewriting, a fresh approach to term rewriting achieved through an equality saturation algorithm. ... -
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spaGO
Self-contained Machine Learning and Natural Language Processing lib
A Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. In other words, it has "zero dependencies", and we are committed to keeping it that way as much as possible. -
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LMAX Disruptor
High performance inter-thread messaging library
LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. We found that cache misses at the CPU-level, and locks requiring kernel arbitration are... -
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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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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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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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MiniChain
A tiny library for coding with large language models
MiniChain is a small Python library for building applications that combine large language models, prompts, and executable tools. 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. -
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10
Jadecy
Java lib to compute (code) deps, SCCs, and cycles (Johnson algorithm).
...JadecyMain class). API entry point for Java code dependencies is the Jadecy class, or DepUnit that makes use of it and is designed for unit tests. API entry point for general graph computations is the net.jadecy.graph package. Requires Java 5 or later. Also available on github: https://github.com/jeffhain/jadecy -
11
Jraph
A Graph Neural Network Library in Jax
...The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. Jraph also comes with a model zoo—a collection of forkable reference implementations of common message-passing GNN architectures, such as Graph Networks, Graph Convolutional Networks, and Graph Attention Networks. -
12
Flowy
The minimal javascript library to create flowcharts
flowy is a minimal JavaScript library for building interactive flowchart-style interfaces in web applications, allowing developers to create node-based editors, automation builders, or visual programming tools with relatively little code. It provides draggable, connectable blocks (nodes) that can be placed on a canvas, connected via lines, and rearranged dynamically while preserving the underlying graph structure. -
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Graph4NLP
Graph4nlp is the library for the easy use of Graph Neural Networks
Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing (i.e., DLG4NLP). It provides both full implementations of state-of-the-art models for data scientists and also flexible interfaces to build customized models for researchers and developers with whole-pipeline support. Built upon highly-optimized runtime libraries including DGL , Graph4NLP has both high running efficiency and great extensibility. The architecture of... -
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Plumbing
Prismatic's Clojure(Script) utility belt
Plumbing is a general-purpose Clojure utility belt and data transformation library endorsed for its pragmatic approach to everyday tasks. It offers a toolkit of macros and functions that simplify common data manipulation patterns, and includes a “Graph” abstraction for structured computation flows. Most of it is also compatible with ClojureScript. Graph is a simple and declarative way to specify a structured computation, which is easy to analyze, change, compose, and monitor. ... -
15
TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage... -
16
libRSF
A robust sensor fusion library for online localization
The libRSF is an open source C++ library that provides several components that are required to estimate the state of a (robotic) system based on probabilistic methods. By applying the factor graph concept, well known from Graph SLAM, libRSF provides a robust solution for many sensor fusion problems. The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). ... -
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Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to... -
18
TFLearn
Deep learning library featuring a higher-level API for TensorFlow
...Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations, and more. Effortless device placement for using multiple CPU/GPU. The high-level API currently supports the most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, etc. -
19
gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations... -
20
Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. ... -
21
Pinject
A pythonic dependency injection library
Pinject is a lightweight dependency-injection library for Python that favors explicit wiring and testability over magic. Instead of global singletons, you declare providers (bindings) that describe how to construct objects, and Pinject resolves the graph by inspecting call signatures. Its container supports constructor injection and fine-grained scoping so you can share expensive resources while keeping tests isolated. -
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VivaGraph
Graph drawing library for JavaScript
VivaGraphJS is a powerful, high-performance graph drawing library for JavaScript that enables developers to visualize complex networks directly in the browser or in Node.js environments. It is designed for speed and scalability, handling large graph datasets with smooth rendering and interactive capabilities such as dragging nodes and zooming. The library supports multiple rendering backends including SVG, WebGL, and Canvas, allowing developers to choose the best balance of performance and visual fidelity for their use case. ... -
23
Mount
managing Clojure and ClojureScript app state since (reset)
Mount is a lightweight state management library for Clojure and ClojureScript that helps developers manage application components—like databases, servers, and caches—in a REPL-friendly way, allowing smooth reloadability of application state without losing productivity. If the whole app is one big application context (or system), cross dependencies with a solid dependency graph is an integral part of the system. -
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Your basic graph
Graph algorithms and data structures
...The tool is part of a larger library of generic graph algorithms. -
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wallaroo
C++ Dependency Injection
Wallaroo is a dependency injection library for C++. With wallaroo you can easily separate the object graph from the class implementation. You can create objects and wiring them using strings, so that you can load the "object graph" from a configuration file.