SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library

Minimal ROS 2 Rust bindings

Official code of "R2RNet: Low-light Image Enhancement Via Real-low to Real-normal Network".

react + next.js dashboard for R2R: The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

PyTorch Code of NAACL 2019 paper "Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout"

RetDec plugin for Radare2

[NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing"

Easily Create Production-Ready Rich Text Format (RTF) Table and Figure

We believe that every SOTA result is only valid on its own dataset. RAGView provides a unified evaluation platform to benchmark different RAG methods on your specific data.

R2RML Parser is a tool that can export relational database contents as RDF graphs, based on an R2RML mapping document.

Raspberry Pi Pico NTSC 8-bit Composite Video output using Resistor R2R DAC, interlaced at 640x480, with slideshow on second core.

Code and data of the Fine-Grained R2R Dataset proposed in the EMNLP 2021 paper Sub-Instruction Aware Vision-and-Language Navigation

Code for sim-to-real transfer of a pretrained Vision-and-Language Navigation (VLN) agent to a robot using ROS.

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My ML/AI blog

R2RML mappings for the MusicBrainz schema

*n*-dimensional R2R/R2C/C2C FFT and R2R DCT (rustfft + ndarray)

R2RML Tutorial

Clojure implementation of the W3C proposal R2RML: RDB to RDF mapping language

Minimal r2r ros node.

Use a local instance of retdec to decompile functions in radare2

Measuring RAG solutions throughput and latency

Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.

[IROS 24] Official repository of "Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation". We present the first dataset - R2R-IE-CE - to benchmark instructions errors in VLN. We then propose a method, IEDL.

Implementation (R2R part) for the paper "Iterative Vision-and-Language Navigation"

A Ruby port of @ded's R2 project

In-text resizing of containers, images and tables in Rmarkdown documents and Shiny apps/dashboards

Convert R package documentation to a 'readthedocs' website

MobileNet-based image classification API for the Rent2Reuse app. Trained on 180 classes with intelligent confidence-based predictions and automatic item categorization (Accepted/Prohibited). Features Flask REST API for seamless integration.