RRepoGEO

REPOGEO REPORT · LITE

fbcotter/pytorch_wavelets

Default branch master · commit 9a0c507f · scanned 5/14/2026, 4:17:13 AM

GitHub: 1,169 stars · 159 forks

AI VISIBILITY SCORE
56 /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
1 / 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 fbcotter/pytorch_wavelets, 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
    Emphasize 2D DWT efficiency for image processing in README intro

    Why:

    CURRENT
    This package provides support for computing the 2D discrete wavelet and the 2d dual-tree complex wavelet transforms, their inverses, and passing gradients through both using pytorch.
    COPY-PASTE FIX
    This PyTorch package provides highly efficient implementations of 2D Discrete Wavelet Transforms (DWT) and Dual-Tree Complex Wavelet Transforms (DTCWT), their inverses, and gradient support. It is specifically optimized for image processing and computer vision tasks, handling batches of multichannel images seamlessly.
  • mediumlicense#2
    Add explicit license statement to README

    Why:

    COPY-PASTE FIX
    ## License
    This project is licensed under [MAINTAINER: Specify License Name(s) here, e.g., 'a custom license combining MIT and Apache-2.0 terms']. Please refer to the `LICENSE` file for full details.
  • lowhomepage#3
    Add homepage URL to repository About section

    Why:

    COPY-PASTE FIX
    http://pytorch-wavelets.readthedocs.io/

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 fbcotter/pytorch_wavelets
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
13%
Of all named tools, what % are you?
Top rival
PyWavelets (PyWt)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyWavelets (PyWt) · recommended 1×
  2. Kornia · recommended 1×
  3. Torch-Wavelets · recommended 1×
  4. Custom PyTorch Implementation · recommended 1×
  5. kymatio · recommended 1×
  • CATEGORY QUERY
    How to perform 2D discrete wavelet transforms efficiently in PyTorch for image processing?
    you: not recommended
    AI recommended (in order):
    1. PyWavelets (PyWt)
    2. Kornia
    3. Torch-Wavelets
    4. Custom PyTorch Implementation

    AI recommended 4 alternatives but never named fbcotter/pytorch_wavelets. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a fast PyTorch library for dual-tree complex wavelet transforms on image batches.
    you: #1
    AI recommended (in order):
    1. pytorch_wavelets ← you
    2. kymatio
    3. dtcwt
    4. TorchWavelets
    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 fbcotter/pytorch_wavelets?
    pass
    AI did not name fbcotter/pytorch_wavelets — 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 fbcotter/pytorch_wavelets in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fbcotter/pytorch_wavelets 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 fbcotter/pytorch_wavelets solve, and who is the primary audience?
    pass
    AI did not name fbcotter/pytorch_wavelets — 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?

Embed your GEO score

Drop this badge into the README of fbcotter/pytorch_wavelets. 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/fbcotter/pytorch_wavelets.svg)](https://repogeo.com/en/r/fbcotter/pytorch_wavelets)
HTML
<a href="https://repogeo.com/en/r/fbcotter/pytorch_wavelets"><img src="https://repogeo.com/badge/fbcotter/pytorch_wavelets.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

fbcotter/pytorch_wavelets — 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