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Published directory entries matching your search.
A GitHub collection of graph classification papers with reference implementations, covering embedding, deep learning, graph kernel and factorization methods. It also links to graph classification benchmark datasets and similar curated collections.
GrapheneOS Apps is a code project with source, releases, documentation, or setup notes.
GrapheneOS Camera is a code project with source, releases, documentation, or setup notes.
Graphics Workshop is a GitHub repository or organization with source code, releases, documentation, or project resources.
Little Ball of Fur is a graph sampling extension library for Python and a graph sampling extension library for NetworKit and NetworkX. It consists of methods that can sample from graph structured data, covering vertex, edge, and exploration sampling techniques with a unified application public interface.
django-meta helps manage meta tags, Open Graph data, and social sharing previews for websites.
Gadfly is a Julia package for creating statistical graphics. Developed by GiovineItalia, it provides a grammar of graphics for generating visualizations in Julia. The repository includes documentation, examples, and installation instructions, and is open source.
Graph layout algorithms in pure Julia.
HEAD helps manage meta tags, Open Graph data, and social sharing previews for websites.
LaravelMetaTags helps manage meta tags, Open Graph data, and social sharing previews for websites.
LinkScope is online investigation software that represents information as discrete entities, connects related data via resolution functions to build knowledge graphs, and helps users extract insights from online data. It offers graph visualisation, drag-and-drop data entry, event timelines, browser tab import, location mapping, and extensible functionality. A server version supports live project collaboration, text extraction from over 100 document types, content summarization, and context-aware Q&A about project data. Installers are available for Ubuntu 22.04 and Windows 11, though the SFDP graph layout is not functional on Windows.
nextjs-headless-wordpress helps manage meta tags, Open Graph data, and social sharing previews for websites.
nngraph is an open source GitHub repository that provides graph computation capabilities for Torch's nn neural network package. It enables users to define and work with neural network graph structures for their machine learning projects.
ONNX-MLIR provides compiler technology that transforms a valid Open Neural Network Exchange (ONNX) graph into code implementing the graph with minimum runtime support. It is based on LLVM/MLIR compiler technology and contributes an ONNX Dialect and a driver that lower ONNX graphs into MLIR files or LLVM bytecodes.
ShotOG helps manage meta tags, Open Graph data, and social sharing previews for websites.
svelte-meta-tags helps manage meta tags, Open Graph data, and social sharing previews for websites.
svelte-seo helps manage meta tags, Open Graph data, and social sharing previews for websites.
TensorFlow Fold is a library for creating TensorFlow models that consume structured data, where the computation graph depends on the structure of the input data. It implements dynamic batching, transforming batches of arbitrarily shaped computation graphs into a static computation graph. TensorFlow Fold is not an official Google product.
You Don't Need GUI is a list of common computing tasks, such as copying files, moving directories, zipping archives and checking disk usage, presented with command-line equivalents instead of graphical methods. The readme notes graphical interfaces can require more resources and be harder to automate via scripting. A Chinese translation is provided.
AgentPilot is a workflow automation platform for creating, organizing and executing AI workflows, ranging from a single LLM to complex AI-driven workflows. It offers an interface for designing workflows and chatting with them in real time, with branching chats and graph workflows supporting parallel execution. Workflows can be scheduled using natural language expressions of time.
Agents is an open-source framework for data-centric, self-evolving autonomous language agents. It introduces agent symbolic learning, which treats an agent pipeline like a computational graph and uses prompt-based loss, back-propagation and weight updates to train agents. The project also supports optimizing multi-agent systems and was updated to Agents 2.0 with agent learning and evaluation support.
AIToolbox is a toolbox of AI modules written in Swift, covering graphs and trees, support vector machines, neural networks, PCA, K-Means and genetic algorithms. The framework uses the Accelerate library to speed up computations, except the Linux package versions. A Swift Package is available for Mac and Linux, described as a sub-set of the full framework.
anneal is a machine learning compiler written in Go. It is a from-scratch port of tinygrad, and its features include a graph-rewrite intermediate representation, autodiff implemented as a compiler pass, and a zero-CGO WebGPU backend.
Apache MXNet is a deep learning framework mixing symbolic and imperative programming. It includes a dynamic dependency scheduler that parallelizes symbolic and imperative operations, with a graph optimization layer for symbolic execution. The repository was archived on Nov 17, 2023, and is read-only.
