Search Results for "jack-graph" - Page 14
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Showing 2173 open source projects for "jack-graph"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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drumkv1
An old-school drum-kit sampler
an old-school drum-kit sampler with stereo fx. -
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MiroFlow
Agent framework that enables tool-use agent tasks
MiroFlow is a high-performance open-source framework designed for building intelligent AI agents capable of solving complex reasoning and research tasks. The system introduces a hierarchical architecture that organizes components into control, agent, and foundation layers, allowing developers to manage agent orchestration and tool interactions in a structured manner. One of the core innovations of MiroFlow is its use of agent graphs, which enable flexible orchestration of multiple sub-agents... -
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Anomaly Detection Learning Resources
Anomaly detection related books, papers, videos, and toolboxes
...The repository organizes resources into structured categories such as books, tutorials, academic papers, datasets, benchmark frameworks, and open-source toolkits. It includes materials covering a wide range of anomaly detection domains, including time series data, graph data, tabular datasets, and real-time monitoring systems. By compiling resources from multiple programming ecosystems such as Python, R, and other machine learning platforms, the repository allows users to discover both research papers and practical implementations. -
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Open Model Zoo
Pre-trained Deep Learning models and demos
...In addition to model files, Open Model Zoo provides demo applications that show realistic usage patterns and help developers quickly prototype and understand inference pipelines in C++, Python, or via the OpenCV Graph API. Tools in the repository also help automate model downloads and other tasks, making it easier to incorporate these models into production systems or custom solutions. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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GenAI Processors
GenAI Processors is a lightweight Python library
...The library offers built-in processors for classic turn-based Gemini calls as well as Live API streaming, so you can mix “batch” and real-time interactions in the same graph. It leans on Python’s asyncio to coordinate concurrency, handle network I/O, and juggle background compute threads without blocking. -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express... -
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IntuneManagement
Copy, export, import, delete, document and compare policies
...It provides helpers to manage device enrollment, configuration profiles, compliance rules, application assignments, and reporting, often leveraging PowerShell and the Microsoft Graph API to perform bulk operations. The toolkit is aimed at IT pros who must apply consistent policies across many endpoints, offering idempotent commands and templates to codify common policies and onboarding flows. Many such projects include sample automation for dynamic device groups, license checks, or automatic remediation workflows triggered by compliance violations. ... -
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Hugo PaperMod
A fast, clean, responsive Hugo theme
...Client-side search, code highlighting, social links, and comment integrations can be enabled with simple configuration, avoiding custom JavaScript for most needs. The theme ships with SEO-friendly meta tags, Open Graph/Twitter cards, and RSS feeds to improve discoverability. Because it’s engineered for speed—lean HTML, minimized assets, and Hugo’s native rendering—it delivers excellent performance scores out of the box. -
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react-native-filament
A real-time physically based 3D rendering engine for React Native
react-native-filament is a React Native wrapper for Google's Filament real-time physically-based rendering engine, enabling mobile developers to render high-quality 3D scenes within React Native applications. This library acts as a bridge between JavaScript and the powerful Filament engine through native modules, giving React Native apps access to modern rendering capabilities like PBR materials, image-based lighting, and dynamic shadows. Designed for both iOS and Android, it opens the door... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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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. This means, for example, that you can diff a JSON file against a YAML file. Also, the output format can be different from the input format(s). ... -
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Kubeflow pipelines
Machine Learning Pipelines for Kubeflow
Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. A pipeline is a description of an ML workflow, including all of the components in the workflow and how they combine in the form of a graph. The pipeline includes the definition of the inputs (parameters) required to run the pipeline and the inputs and outputs of each component. A pipeline component is a self-contained set of user code, packaged as a Docker image, that performs one step in the pipeline. For example, a component can be responsible for data preprocessing, data transformation, model training, and so on. -
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NeuralOperators.jl
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
...Instead of solving by finite element method, a PDE problem can be resolved by training a neural network to learn an operator mapping from infinite-dimensional space (u, t) to infinite-dimensional space f(u, t). Neural operator learns a continuous function between two continuous function spaces. The kernel can be trained on different geometry, which is learned from a graph. Fourier neural operator learns a neural operator with Dirichlet kernel to form a Fourier transformation. It performs Fourier transformation across infinite-dimensional function spaces and learns better than neural operators. Markov neural operator learns a neural operator with Fourier operators. -
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Branchless workflow for Git
High-velocity, monorepo-scale workflow for Git
...Prototyping and experimenting workflows: strong support for prototyping and experimental work via "divergent" development. git sync: to rebase all local commit stacks and branches without having to check them out first. git move: The ability to move subtrees rather than "sticks" while cleaning up old branches, not touching the working copy, etc. Anonymous branching: reduces the overhead of branching for experimental work. In-memory operations: to modify the commit graph without having to check out the commits in question. git next/prev: to quickly jump between commits and branches in a commit stack. -
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Go Recipes
Collection of handy tools for Go projects
Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green. Other nodes, which aren't in the final build list, are colored grey... -
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Lightning Network Daemon
A complete implementation of a Lightning Network node
The Lightning Network Daemon (lnd), is a complete implementation of a Lightning Network node. lnd has several pluggable back-end chain services including btcd (a full-node), bitcoind, and neutrino (a new experimental light client). The project's codebase uses the btcsuite set of Bitcoin libraries and also exports a large set of isolated re-usable Lightning Network-related libraries within it, and fully conforms to the Lightning Network specification (BOLTs). BOLT stands for Basis of... -
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Nx
Smart, fast and extensible build system
Nx builds a project graph by analyzing your workspace, which it then uses to only rebuild what is necessary and to never run the same computation twice. Nx also helps establish structured code sharing and ownership management to keep the workspace maintainable. Nx provides a modern integrated dev experience. It has a high-quality VS Code plugin, interactive visualizations, GitHub integration and more. -
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GitHub Isometric Contributions extension
Browser extension for rendering isometric pixel art charts
...Besides being sort of neat looking, this view is interesting in that it highlights the differences between the number of contributions with more granularity. This isn't meant to completely replace the standard 2D graph though, because in most ways it is actually less useful. For example, there are no axis labels, shorter bars can be hidden behind taller ones, you can't hover over a bar to see the day and count, etc. If you want to hack on the extension, you'll need to install it manually. First clone or fork this repo. Then, on your Chrome Extensions page, make sure "Developer mode" is checked. ... -
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sbt
sbt, the interactive build tool
...One of the examples of a Scala-specific feature is the ability to cross-build your project against multiple Scala versions. build.sbt is a Scala-based DSL to express parallel processing task graph. Typos in build.sbt will be caught as a compilation error. With Zinc incremental compiler and file watch (~), edit-compile-test loop is fast and incremental. Adding support for new tasks and platforms (like Scala.js) is as easy as writing build.sbt. Join 100+ community-maintained plugins to share and reuse sbt tasks. Continuous compilation and testing with triggered execution. ... -
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Jazzy
Soulful docs for Swift & Objective-C
...The output matches the look and feel of Apple’s official reference documentation, post WWDC 2014. Jazzy can also generate documentation from compiled Swift modules using their symbol graph instead of source code. You need development tools to build the project you wish to document. Jazzy supports both Xcode and Swift Package Manager projects. Jazzy expects to be running on macOS. Run jazzy from your command line. Run jazzy -h for a list of additional options. Swift documentation is written in markdown and supports a number of special keywords. ... -
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padthv1
An old-school polyphonic additive synthesizer
padthv1 is an old-school polyphonic additive synthesizer with stereo fx, padthv1 is based on the PADsynth algorithm, by Paul Nasca, as a special variant of additive synthesis (cf. http://zynaddsubfx.sourceforge.net/doc/PADsynth/PADsynth.htm). -
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synthv1
An old-school polyphonic synthesizer
synthv1 is an old-school 4-oscillator subtractive polyphonic synthesizer with stereo fx. -
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Spring AI Alibaba Examples
Spring AI Alibaba examples for building and testing AI apps
...It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem. Each module focuses on a specific use case such as chat, image processing, audio handling, graph workflows, and retrieval-augmented generation. The examples highlight how to integrate AI models, manage prompts, handle memory, and build multi-model or multi-agent workflows. Developers can explore individual project folders for detailed instructions and implementation guidance. Spring AI Alibaba Examples also supports experimentation through playground modules and encourages contributions to expand real-world AI use cases and improve development practices. -
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Magic Portfolio
Build your timeless portfolio with Once UI's Magic Portfolio
...Content is managed through a structured configuration and MDX-based content system, so you can define sections, projects, blog posts, gallery items, and about/CV information in code-backed content files. The template emphasizes SEO with auto-generated Open Graph/X images, schemas, and metadata derived from the content configuration, making it more discoverable out of the box. It offers flexible feature toggles to enable or disable sections such as blog, work, gallery, and about, as well as options for automatic social link generation and password-protected URLs. -
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CodeLocator
Android toolset that includes the Android SDK and Android Studio
CodeLocator is a developer tool designed to help analyze, navigate, and understand large Android codebases — especially useful when working with obfuscated code, many dependencies, or when you don’t have full context (e.g. in large apps or reverse-engineering contexts). It provides capabilities to quickly locate references, method calls, resource usages, and dependency paths across the project, which can dramatically speed up understanding code flow, tracing bugs, or auditing code. By giving... -
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Node Modules Inspector
Interactive UI for local node modules inspection
This is a tool (CLI + interactive UI) for inspecting the node_modules directory of a JavaScript/TypeScript project, created by Anthony Fu. It supports projects using npm, pnpm or bun. The idea is to help developers visualise the dependency graph, see which dependencies are installed, their sizes, types (ESM vs CJS), origins (catalog vs registry), and filter or build a static report of a project’s dependency tree. The project includes a web UI version that you can try at node-modules.dev, and a build command to generate a static output (folder .node-modules-inspector) for hosting. ...
