!

Author: Tuntii

Cargo.toml

@@ -5,9 +5,9 @@ edition = "2021"
 rust-version = "1.70"
 description = "Pure-Rust BERT-compatible text embedding inference for local-first applications."
 license = "MIT OR Apache-2.0"
-repository = "https://github.com/tunay/hypembed"
-homepage = "https://tunay.github.io/hypembed/"
-documentation = "https://tunay.github.io/hypembed/api/hypembed/"
+repository = "https://github.com/neuralforgeone/hypembed"
+homepage = "https://neuralforgeone.github.io/hypembed/"
+documentation = "https://neuralforgeone.github.io/hypembed/api/hypembed/"
 readme = "README.md"
 keywords = ["embeddings", "inference", "transformer", "nlp", "bert"]
 categories = ["science", "text-processing"]

LICENSE-MIT

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2026 Tunay
+Copyright (c) 2026 neuralforgeone
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -2,9 +2,9 @@
 
 Pure-Rust text embedding inference for local-first applications.
 
-[![CI](https://github.com/tunay/hypembed/actions/workflows/ci.yml/badge.svg)](https://github.com/tunay/hypembed/actions/workflows/ci.yml)
+[![CI](https://github.com/neuralforgeone/hypembed/actions/workflows/ci.yml/badge.svg)](https://github.com/neuralforgeone/hypembed/actions/workflows/ci.yml)
 [![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT%20OR%20Apache--2.0-blue.svg)](./LICENSE-MIT)
-[![Docs](https://img.shields.io/badge/docs-github.io-black.svg)](https://tunay.github.io/hypembed/)
+[![Docs](https://img.shields.io/badge/docs-github.io-black.svg)](https://neuralforgeone.github.io/hypembed/)
 
 HypEmbed is a Rust library for generating BERT-compatible text embeddings without Python, ONNX Runtime, libtorch, or hosted inference services. Load local model weights, tokenize input, run the encoder, and get normalized vectors from a small API surface.
 
@@ -73,8 +73,8 @@ Example compatible model:
 
 ## Documentation
 
-- Project site: https://tunay.github.io/hypembed/
-- API docs: https://tunay.github.io/hypembed/api/hypembed/
+- Project site: https://neuralforgeone.github.io/hypembed/
+- API docs: https://neuralforgeone.github.io/hypembed/api/hypembed/
 - Architecture notes: [ARCHITECTURE.md](./ARCHITECTURE.md)
 - Product spec: [PRODUCT_SPEC.md](./PRODUCT_SPEC.md)
 - Roadmap: [ROADMAP.md](./ROADMAP.md)

docs/index.html

@@ -22,7 +22,7 @@ <h1>Text embeddings without Python or external runtimes.</h1>
         </p>
         <div class="actions">
           <a class="button button-primary" href="./api/hypembed/">Open API Docs</a>
-          <a class="button button-secondary" href="https://github.com/tunay/hypembed">View on GitHub</a>
+          <a class="button button-secondary" href="https://github.com/neuralforgeone/hypembed">View on GitHub</a>
         </div>
         <div class="install-card">
           <span>Install</span>
@@ -70,17 +70,17 @@ <h2>Current Scope</h2>
         </section>
 
         <section class="grid links-grid">
-          <a class="link-card" href="https://github.com/tunay/hypembed/blob/main/README.md">
+          <a class="link-card" href="https://github.com/neuralforgeone/hypembed/blob/main/README.md">
             <span class="link-kicker">Start here</span>
             <strong>README</strong>
             <p>Overview, installation, and model directory conventions.</p>
           </a>
-          <a class="link-card" href="https://github.com/tunay/hypembed/blob/main/ARCHITECTURE.md">
+          <a class="link-card" href="https://github.com/neuralforgeone/hypembed/blob/main/ARCHITECTURE.md">
             <span class="link-kicker">Internals</span>
             <strong>Architecture</strong>
             <p>Tensor engine, tokenizer, model layout, and execution pipeline.</p>
           </a>
-          <a class="link-card" href="https://github.com/tunay/hypembed/blob/main/ROADMAP.md">
+          <a class="link-card" href="https://github.com/neuralforgeone/hypembed/blob/main/ROADMAP.md">
             <span class="link-kicker">Direction</span>
             <strong>Roadmap</strong>
             <p>Near-term performance work and longer-term model support plans.</p>