ml-cvnets VS Orchestra

Compare ml-cvnets vs Orchestra and see what are their differences.

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ml-cvnets Orchestra
4 1
1,681 96
1.4% -
4.8 3.4
6 months ago 11 months ago
Python Python
GNU General Public License v3.0 or later MIT License
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.

ml-cvnets

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

Orchestra

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

What are some alternatives?

When comparing ml-cvnets and Orchestra you can also consider the following projects:

semantic-segmentation-pytorch - Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

oemer - End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.

PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

OMRChecker - Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.

dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

awesome-sheet-music - A curated list of awesome sheet music software, libraries and resources.

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming

EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

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