awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
E

edouardoyallon/scalingscattering

0
View on GitHub↗
0 stars·0 forks·9 views

Scalingscattering

Features

  • Model Implementations - Deep hybrid network implementation for scattering transforms.
  • Optimization Tools - Experiments for scattering transform papers.

Star history

Star history chart for edouardoyallon/scalingscatteringStar history chart for edouardoyallon/scalingscattering

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Projects sharing features with Scalingscattering

These projects share indexed features with Scalingscattering. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • cemoody/topicsneC

    cemoody/topicsne

    0View on GitHub↗
    View on GitHub↗0
  • edouardoyallon/pyscatwaveedouardoyallon avatar

    edouardoyallon/pyscatwave

    294View on GitHub↗

    Fast Scattering Transform with CuPy/PyTorch

    Python
    View on GitHub↗294
  • amdegroot/pytorch-containersA

    amdegroot/pytorch-containers

    0View on GitHub↗
    View on GitHub↗0
  • episodeyang/deep-auto-punctuationE

    episodeyang/deep-auto-punctuation

    0View on GitHub↗
    View on GitHub↗0
Compare all 30 related projects→

Frequently asked questions

What are the main features of edouardoyallon/scalingscattering?

The main features of edouardoyallon/scalingscattering are: Model Implementations, Optimization Tools.

Which projects share features with edouardoyallon/scalingscattering?

Projects with overlapping indexed features include: edouardoyallon/pyscatwave — Fast Scattering Transform with CuPy/PyTorch. ikostrikov/pytorch-meta-optimizer — A PyTorch implementation of Learning to learn by gradient descent by gradient descent. amdegroot/pytorch-containers. cemoody/topicsne. episodeyang/deep-auto-punctuation. locuslab/e2e-model-learning.