ml-cvnets VS PaddleViT

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

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ml-cvnets PaddleViT
4 2
1,681 1,169
1.4% -
4.8 0.0
6 months ago over 1 year ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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.

PaddleViT

Posts with mentions or reviews of PaddleViT. 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 PaddleViT you can also consider the following projects:

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

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

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

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.

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

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

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

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

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

ttach - Image Test Time Augmentation with PyTorch!