Retina images plugin for jQuery
A pure functional rules engine to keep logic-dense code simple, reliable, understandable, and explainable.
Dense-Mem MCP stdio proxy for Streamable HTTP clients
Naive, lightweight CPU-based dense optical flow implementation
Finding shortest / cheapest paths in a dense graph
AI-agent friendly CLI for V2EX. Dense, scriptable, JSON-first.
A rich, information-dense statusline for Claude Code
OpenClaw long-term memory plugin backed by Alibaba Zvec (dense vector ANN)
Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1
Information Dense Keywords Dictionary - A curated vocabulary for instructing AI assistants
Ultra-dense JavaScript framework – maximum performance, minimal overhead
Freightline Design System — 60+ production-grade React components for enterprise logistics and data-dense applications
Graph version w/ 128 dense
Dense workspace synchronization across ecosystems
Commit pattern predictor — small dense network for fleet git activity forecasting
Minimal implementation of dense and sparse matrices
Dockable, data-dense React UI components
Dark monochrome React UI framework. Terminal-brutalist. Data-dense. Zero border-radius. Monospace-first.
Static code intelligence for AI-assisted development. Generates a dense CODEBASE.ctx from your source files — no API calls, pure local compute.
Seahorse Hybrid Search MCP server (dense/sparse/hybrid search with v2 API, optional Cohere/OpenRouter reranking)
Telco-DPR enhanced MCP server for 3GPP RAG with Gemini LLM integration. Provides research-validated 86.2% Top-10 accuracy using Dense Hierarchical Retrieval.
Dense-cli is a Node.js-based command-line tool that provides a scaffolding for quickly creating and managing projects
TypeScript implementation of DDSketch, a distributed quantile sketch algorithm with dense JSON de/serialization support
Dense matrix-vector multiplication
An encoder/decoder to/from dense files.
Lib no_std Rust for native neural network (.rnn)
This code defines a custom allocator called `DHeap` (Dense Heap) and a smart pointer called `DBox` (Dense Box). The `DHeap` is responsible for managing memory allocation, while the `DBox` provides a way to access and manage the data stored in the `DHeap`. The main advantage of using this custom allocator is that it minimizes memory fragmentation by densely packing the allocated memory. The code also includes test cases to demonstrate the functionality of `DHeap` and `DBox`.
Instruction-based neural network model training library using Burn
A strided dense tensor implementation
Display and work with Lance matrices
A Rust library for solving sparse linear systems using direct methods.
sparerse-rs: sparse matrix computation written in rust
Deterministic dense point datasets, bucketing, and clustering for video-analysis.
Deterministic dense point datasets, bucketing, and clustering for video-analysis.
Fixed-capacity, generation-tracked dense slot map with stable handles and raw memory interface, optimized for the Swamp VM
Rank fusion algorithms for hybrid search — RRF, ISR, CombMNZ, Borda, DBSF. Zero dependencies.
Fetching deep in a dense structure. A kind of bastard of JSONPath.
A mail utility so dense, no message can escape.
Build a sparse matrix from dense matrix
dygraphs is an open source JavaScript library that produces produces interactive, zoomable charts of time series. It is designed to display dense data sets and enable users to explore and interpret them. This gem packages the library for the Rails 3.1+ asset pipeline.
The Ruby library, Documentrix, is designed to provide a way to build and query vector databases for applications in natural language processing (NLP) and large language models (LLMs). It allows users to store and retrieve dense vector embeddings for text strings.
ignis-numerics is GPU numerical computing for Ruby on the Ignis foundation: dense/sparse linear algebra, FFT (cuFFT), random number generation (cuRAND), linear solvers & decompositions (cuSOLVER), and Einstein-notation tensor contraction (cuTENSOR), with an nvmath-style API (Ignis.fft, Ignis.solve, Ignis.zeros, …). The lineage NvRuby began from, revived as a standalone gem.
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