pytorch-ssim VS pathml

Compare pytorch-ssim vs pathml and see what are their differences.

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pytorch-ssim pathml
1 2
1,811 362
- 2.5%
0.0 8.0
2 months ago 23 days ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pytorch-ssim

Posts with mentions or reviews of pytorch-ssim. We have used some of these posts to build our list of alternatives and similar projects.

pathml

Posts with mentions or reviews of pathml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-17.
  • Hilo Semanal de Consultas IT - Asesoría Técnica, Desarrollo Profesional y Aprendizaje
    1 project | /r/chileIT | 28 Jun 2023
  • Dask – a flexible library for parallel computing in Python
    8 projects | news.ycombinator.com | 17 Nov 2021
    We have been using dask to support our computational pathology workflows [1], where the images are so big that they cannot be loaded in memory, let alone analyzed (standard pathology whole slide images are ~1GB; some microscopy techniques generate images >1TB). We divide each image into a bunch of smaller tiles and process each tile independently. The dask.distributed scheduler lets us scale up by distributing the tile processing across a cluster.

    Benefits of dask.distributed: easy to get up and running, and has support for spinning up clusters on lots of different computing platforms (local machines, HPC cluster, k8s, etc.)

    One difficulty is optimizing performance - there are so many configuration details (job size, number of workers, worker resources, etc. etc.) that it's been hard to know what is best.

    [1] https://github.com/Dana-Farber-AIOS/pathml

What are some alternatives?

When comparing pytorch-ssim and pathml you can also consider the following projects:

facetorch - Python library for analysing faces using PyTorch

mpire - A Python package for easy multiprocessing, but faster than multiprocessing

ISP-Guide - Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.

slideflow - Deep learning library for digital pathology, with both Tensorflow and PyTorch support.

ShinyHunter - A minimal Pokémon shiny hunter app built with Python for the GB Operator.

Keras - Deep Learning for humans

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

cudf - cuDF - GPU DataFrame Library

GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

legate.pandas - An Aspiring Drop-In Replacement for Pandas at Scale

Kornia - Geometric Computer Vision Library for Spatial AI

cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale