PaddleViT VS ml-cvnets

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

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PaddleViT ml-cvnets
2 4
1,169 1,681
- 2.9%
0.0 4.8
over 1 year ago 6 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

PaddleViT

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

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.

What are some alternatives?

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

FastestDet - :zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

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

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

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

PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 - Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.

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

ttach - Image Test Time Augmentation with PyTorch!

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/