RRepoGEO

REPOGEO REPORT · LITE

LaurentMazare/tch-rs

Default branch main · commit a1dc7ece · scanned 5/14/2026, 3:33:01 PM

GitHub: 5,382 stars · 422 forks

AI VISIBILITY SCORE
62 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface LaurentMazare/tch-rs, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to emphasize integration of C++ deep learning models

    Why:

    CURRENT
    Rust bindings for the C++ api of PyTorch. The goal of the `tch` crate is to provide some thin wrappers around the C++ PyTorch api (a.k.a. libtorch). It aims at staying as close as possible to the original C++ api. More idiomatic rust bindings could then be developed on top of this.
    COPY-PASTE FIX
    Rust bindings for the C++ API of PyTorch (LibTorch), enabling seamless integration of high-performance C++ deep learning models into Rust applications. The `tch` crate provides thin, direct wrappers around LibTorch, allowing Rust developers to leverage PyTorch's powerful backend for deep learning tasks.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://docs.rs/tch
  • lowtopics#3
    Add 'ffi' and 'bindings' to repository topics

    Why:

    CURRENT
    deep-learning, machine-learning, neural-network, pytorch, rust
    COPY-PASTE FIX
    deep-learning, machine-learning, neural-network, pytorch, rust, ffi, bindings

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
1 / 2
50% of queries surface LaurentMazare/tch-rs
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
11%
Of all named tools, what % are you?
Top rival
cxx
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. cxx · recommended 2×
  2. rust-bert · recommended 1×
  3. candle · recommended 1×
  4. dfdx · recommended 1×
  5. bindgen · recommended 1×
  • CATEGORY QUERY
    Seeking Rust bindings for a high-performance C++ deep learning library.
    you: #1
    AI recommended (in order):
    1. tch-rs ← you
    2. rust-bert
    3. candle
    4. dfdx
    5. cxx
    Show full AI answer
  • CATEGORY QUERY
    How to integrate C++ deep learning models into a Rust application?
    you: not recommended
    AI recommended (in order):
    1. cxx
    2. bindgen
    3. autocxx
    4. libloading

    AI recommended 4 alternatives but never named LaurentMazare/tch-rs. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of LaurentMazare/tch-rs?
    pass
    AI did not name LaurentMazare/tch-rs — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts LaurentMazare/tch-rs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LaurentMazare/tch-rs explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo LaurentMazare/tch-rs solve, and who is the primary audience?
    pass
    AI named LaurentMazare/tch-rs explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of LaurentMazare/tch-rs. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/LaurentMazare/tch-rs.svg)](https://repogeo.com/en/r/LaurentMazare/tch-rs)
HTML
<a href="https://repogeo.com/en/r/LaurentMazare/tch-rs"><img src="https://repogeo.com/badge/LaurentMazare/tch-rs.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

LaurentMazare/tch-rs — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite