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AN

maderix/ANE

Training neural networks on Apple Neural Engine via reverse-engineered private APIs

7.1k Stars958 Forks29 Open Issues7.1k WatchersObjective-CMIT
LLM ToolDeveloper ToolAutomation
Review Readiness

This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.

60

review score

Needs original analysisNeeds alternatives
Decision Snapshot

Problem solved

It solves the problem that Apple's Neural Engine is restricted to inference-only use through CoreML, proving that training on NPUs is possible with proper software support, and provides a reference for direct ANE access outside CoreML.

Deployment reality

Setup instructions are not clear enough yet. Non-coders should ask Codex or Claude to read the README, list prerequisites, create an install checklist, and identify hosted alternatives before deploying.

Commercial use

The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.

Capability ceiling

maderix/ANE still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.

Source and compliance noteLast synced: Jul 30, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

maderix/ANE is tracked as a Objective-C project in the LLM Tool, Developer Tool, Automation area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 7.1k total stars, with +22 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Inactive; the latest push was 218 days ago, and the open issue queue is 29, about 0.41% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 958 forks and 7.1k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need Objective-C teams evaluating ecosystem-native tooling. Be cautious when you require frequent releases or active maintenance.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 22. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Limited

Needs stronger original analysis before indexing.

Sources

Ready

Repository metadata and README/source references are attached.

License

Ready

MIT is recorded for review.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Limited

Needs more comparable projects for decision support.

Best For
  • Objective-C teams evaluating ecosystem-native tooling
Avoid When
  • you require frequent releases or active maintenance
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

7.1k Stars

Reuse

958 Forks

Attention

7.1k Watchers

Maintenance

inactive

License

MIT

Open issues

29

Overview

A research project demonstrating neural network training on Apple's Neural Engine (ANE) via reverse-engineered private APIs, bypassing CoreML restrictions to perform forward and backward passes directly on ANE hardware.

Key Features

- Reverse-engineered _ANEClient/_ANECompiler private APIs for ANE training - Dynamic pipeline with shared kernels (no recompilation when weights change) for MHA and GQA models - INT8 W8A8 quantization achieving 1.88x throughput speedup over FP16

Tool Positioning

LLM Tool

Libraries and tools for LLM apps, RAG, prompts, and evals

Developer Tool

Tools that improve coding, testing, build, and local workflow

Automation

Workflow automation, integration glue, and orchestration

Quick Start

Start from the original GitHub README and release notes before installing. Git-Stars summarizes setup signals but does not mirror full project documentation.

View on GitHub
Project Activity

63

Health Score

Inactive

Commit Activity

Feb 28, 2026

Created

Mar 10, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

Star history will appear after daily syncs accumulate data.

Community Health
958

Forks

29

Open

7.1k

Watchers

Owner
AN

maderix

GitHub profile
Topics & Language
Objective-C
Ecosystem & Usage
GitHub Repository
Alternatives & Comparison

No similar projects found. Check Explore for more.

License
MIT
CreatedFeb 28, 2026
Last pushMar 10, 2026
Last syncedJul 30, 2026
Repository Standards

✓

License

✓

Forked

✗ Inactive

Maintained