Search Results for "jack-graph" - Page 11
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Showing 1665 open source projects for "jack-graph"
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Cody
Type less, code more: Cody is an AI code assistant
...Run Cody's one-click prompts or create your own custom prompts to execute AI workflows. Cody generates single lines, or whole functions, in any programming language, configuration file, or documentation. Cody uses your code graph plus Code Search to autocomplete, explain, and edit your code with additional context. Cody supports the latest LLMs including Claude 3.5, GPT-4o, Gemini 1.5, and Mixtral-8x7B. You can also bring your own LLM key with Amazon Bedrock and Azure OpenAI. -
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Delaunator
Fast JavaScript library for Delaunay triangulation of 2D points
Delaunator is a fast library for Delaunay triangulation. It takes as input a set of points. The triangulation is represented as compact arrays of integers. It’s less convenient than other representations but is the reason the library is fast. After constructing a delaunay = Delaunator.from(points) object, it will have a triangles array and a halfedges array, both indexed by half-edge id. What’s a half-edge? A triangle edge may be shared with another triangle. Instead of thinking about each... -
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Binaryen
Compiler infrastructure and toolchain library for WebAssembly
...Binaryen has a simple C API in a single header, and can also be used from JavaScript. It accepts input in WebAssembly-like form but also accepts a general control flow graph for compilers that prefer that. Binaryen's internal IR uses compact data structures and is designed for completely parallel codegen and optimization, using all available CPU cores. Binaryen's IR also compiles down to WebAssembly extremely easily and quickly because it is essentially a subset of WebAssembly. Binaryen's optimizer has many passes (see an overview later down) that can improve code size and speed. ... -
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Postgres for Everything
How to reduce complexity and move faster? Just Postgres for everything
Postgres for Everything is a curated repository demonstrating how PostgreSQL can replace or consolidate many specialized infrastructure components. Rather than being a single application, it collects projects, extensions, articles, and examples built around PostgreSQL. Covered uses include message queues, analytics, GIS, search, time-series data, NoSQL, graphs, caching, APIs, and access control. It also catalogs approaches for replication, monitoring, testing, scaling, visualization, and... -
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Marble Skill Taxonomy
Structured taxonomy of what children learn across the primary years
Marble Skill Taxonomy is an open structured dataset that maps what children learn across primary and elementary education. It breaks curriculum content into fine-grained micro-topics instead of leaving learning goals as broad standards. Each topic includes subject, domain, age range, description, evidence criteria, assessment prompt, and stable identifiers. The dataset also defines prerequisite relationships, so developers can trace what a learner should master before a concept. It aligns... -
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Jekyll SEO Tag
Plugin to add metadata tags for search engines and social networks
A Jekyll plugin to add metadata tags for search engines and social networks to better index and display your site's content. While you could theoretically add the necessary metadata tags yourself, Jekyll SEO Tag provides a battle-tested template of crowdsourced best practices. Jekyll SEO tag is designed to output machine-readable metadata for search engines and social networks to index and display. If you're looking for something to analyze your Jekyll site's structure and content (e.g.,... -
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Sprix SAGE Router
State-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks
Sprix SAGE Router is an open-source routing layer for coordinating agents in Agent2Agent networks. It decides whether an active agent should continue alone, recruit collaborators, or hand a task to another specialist. Routing decisions account for current progress, capability coverage, context-transfer costs, permissions, budgets, and deadlines. The system assigns remaining requirements to agents through task dependency graphs and estimates execution schedules. It learns contextual... -
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ZGI
Open-source platform for building AI applications
ZGI is a source-available platform for building, publishing, and operating AI agents and executable workflows. It combines agent configuration, visual orchestration, retrieval, structured data, model routing, and reusable skills in one workspace. Workflows can include branches, loops, approvals, HTTP requests, database operations, code execution, and scheduled tasks. Agents can connect to approved knowledge, files, databases, and tools. Finished applications can be exposed through a WebApp,... -
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git-stats
Local git statistics including GitHub-like contributions calendars
git-stats is a Node.js command-line tool and library for tracking Git activity locally. It renders commit history as an ANSI contribution calendar similar to the graph displayed on GitHub profiles. Users can select custom date ranges, display global activity, filter commits by author, and compare additions with deletions. Author statistics can also be presented as terminal pie charts. Commit records are stored in a configurable local data file, with a JavaScript configuration file controlling themes and default behavior. ... -
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QA-Pilot
QA-Pilot is an interactive chat project that leverages LLMs
QA-Pilot is an interactive chat-based application designed to help users understand and navigate GitHub repositories using large language models. It enables users to clone repositories locally and then interact with them through a conversational interface, allowing for rapid exploration of codebases without manual searching. The system supports both local and cloud-based LLM providers, making it flexible for different environments and privacy requirements. It includes features such as chat... -
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ML Retreat
Machine Learning Journal for Intermediate to Advanced Topics
...Rather than functioning as a traditional tutorial series, the repository is organized as a learning journey that progressively explores increasingly advanced subjects. Topics include large language models, graph neural networks, mechanistic interpretability, transformer architectures, and emerging research areas such as quantum machine learning. The repository includes references to influential research papers, lectures, and educational content from well-known machine learning educators. -
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Rowboat
Open-source AI coworker, with memory
Rowboat is an open-source, local-first AI automation and multi-agent development platform designed to help developers and knowledge workers create, orchestrate, and manage intelligent workflows with minimal boilerplate and maximum flexibility. It functions as both an AI-powered IDE and a CLI that lets you build multi-agent systems using natural language prompts, connect to MCP and agent tool servers, and integrate automations into everyday work tasks like summarizing emails or generating... -
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MemMachine
Universal memory layer for AI Agents
...Unlike ephemeral LLM prompt state, MemMachine supports distinct memory types—short-term conversational context, long-term persistent knowledge, and profile memory for personalized facts—persisted in optimized stores (e.g., graph databases for episodic lines of reasoning and SQL for user facts) to support robust, context-aware intelligence in agents. It offers flexible APIs, a Python SDK, REST interfaces, and MCP (Model Context Protocol) connectivity to integrate seamlessly with agent frameworks receiving and storing memories over time, effectively boosting relevance, continuity, and tailored behavior. -
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Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
Flux is an elegant approach to machine learning. It's a 100% pure Julia stack and provides lightweight abstractions on top of Julia's native GPU and AD support. Flux makes the easy things easy while remaining fully hackable. Flux provides a single, intuitive way to define models, just like mathematical notation. Julia transparently compiles your code, optimizing and fusing kernels for the GPU, for the best performance. Existing Julia libraries are differentiable and can be incorporated... -
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DoWhy
DoWhy is a Python library for causal inference
...DoWhy provides a wide variety of algorithms for effect estimation, causal structure learning, diagnosis of causal structures, root cause analysis, interventions and counterfactuals. DoWhy builds on two of the most powerful frameworks for causal inference: graphical causal models and potential outcomes. For effect estimation, it uses graph-based criteria and do-calculus for modeling assumptions and identifying a non-parametric causal effect. For estimation, it switches to methods based primarily on potential outcomes. -
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PDMats.jl
Uniform Interface for positive definite matrices of various structures
Uniform interface for positive definite matrices of various structures. Positive definite matrices are widely used in machine learning and probabilistic modeling, especially in applications related to graph analysis and Gaussian models. It is not uncommon that positive definite matrices used in practice have special structures (e.g. diagonal), which can be exploited to accelerate computation. PDMats.jl supports efficient computation on positive definite matrices of various structures. In particular, it provides uniform interfaces to use positive definite matrices of various structures for writing generic algorithms, while ensuring that the most efficient implementation is used in actual computation. -
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DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Implementation of robust dynamic Hamiltonian Monte Carlo methods in Julia. In contrast to frameworks that utilize a directed acyclic graph to build a posterior for a Bayesian model from small components, this package requires that you code a log-density function of the posterior in Julia. Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent of coding a (log) posterior density in Julia. ... -
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Swinject
Dependency injection framework for Swift with iOS/macOS/Linux
Swinject is a lightweight dependency injection framework for Swift. Dependency injection (DI) is a software design pattern that implements Inversion of Control (IoC) for resolving dependencies. In the pattern, Swinject helps your app split into loosely-coupled components, which can be developed, tested, and maintained more easily. Swinject is powered by the Swift generic type system and first-class functions to define the dependencies of your app simply and fluently. Services must be... -
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LinkChecker
Check links in web documents or full websites
LinkChecker is a free, GPL licensed website validator. LinkChecker checks links in web documents or full websites. It runs on Python 3 systems, requiring Python 3.8 or later. The version in the pip repository may be old, to find out how to get the latest code, plus platform-specific information and other advice see doc/install.txt in the source code archive. If you do not want to install any additional libraries/dependencies you can use the Docker image which is published on GitHub... -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. The block abstraction encourages modularity: you can package a preprocessor, a model, and a postprocessor as a reusable composite for others to slot into their graphs. ... -
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gentelella
Free Bootstrap 4 Admin dashboard template
Gentelella Admin is a free-to-use Bootstrap admin template. This template uses the default Bootstrap 4 styles along with a variety of powerful jQuery plugins and tools to create a powerful framework for creating admin panels or back-end dashboards. The theme uses several libraries for charts, calendar, form validation, wizard-style interface, off-canvas navigation menu, text forms, date range, upload area, form autocomplete, range slider, progress bars, notifications, and much more. We would... -
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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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Blume
World-class docs for everything you ship
Blume is an open-source documentation framework that turns a folder of Markdown or MDX files into a production-ready docs site with minimal setup. Its CLI creates and manages a hidden Astro project, so users can get navigation, search, theming, Open Graph images, and reusable components without maintaining application boilerplate. Static HTML builds are optimized for speed, while configuration remains optional and type-safe through TypeScript. Blume includes local search, internationalization, SEO tooling, API references, PDF and EPUB export, and multiple content sources. It is also designed for AI consumption through llms.txt outputs, raw Markdown routes, agent skills, an optional assistant, and MCP access. ... -
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Next.js Landing Page Starter Template
Free NextJS Landing Page Template written in Tailwind CSS 3
...The template favors a minimal component structure that can be rebranded through centralized configuration, styles, images, and content files. SEO support includes metadata, Open Graph information, and JSON-LD structured data. Developer tooling combines ESLint, Prettier, Husky, lint-staged, PostCSS, and prepared Visual Studio Code settings. Static generation, minification, live reload, cache busting, and unused CSS removal help produce efficient deployments. The project can be hosted through Netlify or exported for another static hosting service. -
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Maths, CS & AI Compendium
Become a cracked AI/ML Research Engineer
...Its chapters cover vectors, matrices, calculus, statistics, probability, machine learning, language processing, computer vision, speech, multimodal learning, robotics, and graph neural networks. It also addresses operating systems, algorithms, production software, GPU programming, AI inference, and ML systems design. Readers need only elementary mathematics and basic Python knowledge to begin. A bundled MCP server lets compatible AI assistants use the locally cloned compendium as a knowledge base. The repository is useful for self-study, interview preparation, and deeper AI research engineering training.
