Search Results for "jack-graph" - Page 12
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Showing 1665 open source projects for "jack-graph"
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The Machine & Deep Learning Compendium
List of references in my private & single document
...The compendium includes explanations of concepts across multiple domains such as natural language processing, computer vision, time-series analysis, anomaly detection, and graph learning. In addition to technical algorithms, the project also covers practical topics related to data science workflows, engineering practices, and product development in AI systems. -
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KG-LLM-Papers
Papers integrating knowledge graphs (KGs) and large language models
...The repository functions as a continuously updated index of scholarly work that investigates how structured knowledge representations can enhance the reasoning, factual accuracy, and interpretability of language models. It includes surveys, benchmark studies, and cutting-edge research that examine topics such as knowledge graph-guided prompting, retrieval-augmented generation, reasoning over structured data, and hybrid architectures combining symbolic and neural systems. By gathering these papers into a single organized repository, the project helps researchers quickly discover relevant literature and track the evolution of the field. -
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ANE Training
Training neural networks on Apple Neural Engine via APIs
ANE Training is an experimental research project that demonstrates how to train neural networks directly on Apple’s Neural Engine by leveraging reverse-engineered private APIs that are normally inaccessible to developers. The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by... -
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do - Dependency Injection
A dependency injection toolkit based on Go 1.18+ Generics
do - Dependency Injection is a lightweight dependency injection toolkit for Go that implements the DI pattern using the language’s generics system to provide strong type safety and minimal runtime overhead. The library offers a service container that allows developers to register, resolve, and manage application dependencies in a structured and maintainable way. It supports multiple service lifecycles such as eager, lazy, and transient loading, along with circular dependency detection and... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Mantic.sh
A structural code search engine for Al agents
...Unlike traditional text-based search tools that mainly match keywords, Mantic.sh understands code structure and meaning by combining syntactic heuristics with neural semantic reranking to produce results that reflect conceptual relevance, which helps find functions, definitions, and patterns that literal search might miss. It uses local embeddings and code graph awareness so that queries like “authentication flow” return not just superficially matching text but contextually related code across multiple repositories. The tool supports navigational commands such as go-to-definition and find-references, simplifying large-scale refactoring, comprehension, and exploration tasks for teams. -
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Christmas Tree
Just a simple Christmas tree, based on reddit story
atree is a lightweight JavaScript library for managing and visualizing hierarchical tree data structures in a flexible and efficient way. It offers core abstractions for creating nodes, building parent–child relationships, and traversing trees with utilities for depth, breadth, and custom iteration strategies. Because tree structures are ubiquitous in computing—from file systems and organizational charts to DOM structures and evolutionary taxonomies—atree provides a reusable foundation for... -
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handson-ml
Teaching you the fundamentals of Machine Learning in python
handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep learning stack evolved, the classical ML sections remain highly relevant for production data problems. The code is crafted to be clear rather than clever, prioritizing readability for newcomers. ... -
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Wireit
Wireit upgrades your npm/pnpm/yarn scripts to make them smarter
...It wraps ordinary npm run commands with a declarative configuration describing inputs, outputs, and script relationships, then skips work when nothing has changed. Wireit can watch files, detect invalidated outputs, and propagate rebuilds through a graph of scripts, improving feedback loops in monorepos and complex apps. It persists caches between runs and across CI so identical steps don’t redo expensive tasks like bundling or type-checking. The system also serializes or parallelizes scripts based on dependencies to avoid race conditions while maximizing throughput. Because it integrates at the script layer, it works with any underlying tool—TypeScript, Rollup, Jest, or bespoke commands—while remaining transparent to developers. -
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targets
Function-oriented Make-like declarative workflows for R
The targets package is a pipeline / workflow management tool in R, designed to coordinate multi‐step computational workflows in data science / statistics. It tracks dependencies between “targets” (computational steps), skips steps whose upstream data or code hasn’t changed, supports parallel computation, branching (dynamic generation of sub‐targets), file format abstractions, and encourages reproducible and efficient analyses. It’s something like GNU Make for R, but more integrated. Skipping... -
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Badass JLink Plugin
Create a custom runtime image of your modular application
This Gradle plugin automates creation of custom runtime images using the Java jlink tool, producing small, self-contained distributions tailored to your application’s module graph. It analyzes your app’s modules (and dependencies) to include only the JDK modules you actually need, which substantially reduces footprint versus shipping a full JRE. The plugin generates launchers, start scripts, and archive layouts ready for distribution or Docker layering. It offers rich configuration for JVM options, system properties, service providers, and add-modules/add-reads tweaks to handle both modular and “automatic module” dependencies. ... -
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Chidori
A reactive runtime for building durable AI agents
A reactive runtime for building durable AI agents. Chidori is an open-source orchestrator, runtime, and IDE for building software in symbiosis with modern AI tools. When using Chidori, you author code with python or javascript, we provide a layer for interfacing with the complexities of AI models in long-running workflows. We have avoided the need for declaring a new language or SDK in order to provide these capabilities so that you can leverage software patterns that you are already... -
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spicedb
Open Source, Google Zanzibar-inspired permissions database
SpiceDB is a graph database purpose-built for storing and evaluating access control data. As of 2021, broken access control became the #1 threat to the web. With SpiceDB, developers finally have the solution to stopping this threat the same way as the hyperscalers. Open Source, Google Zanzibar-inspired permissions database to enable fine-grained access control for customer applications. -
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Optimization.jl
Mathematical Optimization in Julia
...Additionally, Optimization.jl takes care of passing problem-specific information to solvers that can leverage it such as the sparsity pattern of the hessian or constraint jacobian and the expression graph. -
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dgs-framework
GraphQL for Java with Spring Boot made easy
The DGS Framework (Domain Graph Service) is a GraphQL server framework for Spring Boot, developed by Netflix. Annotation based Spring Boot programming model. Test framework for writing query tests as unit tests. Gradle Code Generation plugin to create types from schema. Easy integration with GraphQL Federation. Integration with Spring Security. GraphQL subscriptions (WebSockets and SSE). -
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BentoML
Unified Model Serving Framework
...Parallelize compute-intense model inference workloads to scale separately from the serving logic. Adaptive batching dynamically groups inference requests for optimal performance. Orchestrate distributed inference graph with multiple models via Yatai on Kubernetes. Easily configure CUDA dependencies for running inference with GPU. Automatically generate docker images for production deployment. -
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MercuryMessaging
Framework to facilitate communication in the Unity game engine
...The toolkit contains the Mercury messaging framework, which is a messaging and organizational framework built around the Mercury Protocol. Unity organizes its rendered scene objects (known in Unity as GameObjects) using a standard scene graph (known in Unity as the Scene Hierarchy). While Unity is very powerful, it is fairly difficult to achieve nonspatial communication between scriptable components of GameObjects (in Unity, known as MonoBehaviours). -
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AlaSQL
JavaScript SQL database for browser and Node.js for relational tables
...No, really - it's working towards a full database engine complying with most of the SQL-99 language, spiced up with additional syntax for NoSQL (schema-less) data and graph networks. -
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drumkv1
An old-school drum-kit sampler
an old-school drum-kit sampler with stereo fx. -
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comfyui-mixlab-nodes
Workflow and speech recognition app
comfyui-mixlab-nodes is a large collection of custom nodes for ComfyUI that turns workflows into interactive apps and adds real-time multimedia, LLM, and TTS capabilities. It introduces a “Workflow-to-APP” concept, where a ComfyUI graph can be transformed into a Web App through an AppInfo node, complete with categories, batch prompts, and editable configurations. The project also brings Real-time Design features like screen capture and floating video nodes, enabling creative pipelines that mix live screen content, generative models, and visual effects. For audio and speech, it provides nodes for SpeechRecognition and SpeechSynthesis, plus workflows that combine voice generation with real-time face swapping and other audio-visual effects. ... -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich... -
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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. -
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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...
