ml-cvnets
SINet
| ml-cvnets | SINet | |
|---|---|---|
| 4 | 1 | |
| 1,681 | 491 | |
| 1.4% | - | |
| 4.8 | 3.2 | |
| 6 months ago | about 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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
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Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality - MarkTechPost
https://github.com/apple/ml-cvnets/tree/main/examples/byteformer - Where the code will be located once uploaded
- CVNets - A library for training computer vision networks
- CVNets – A library for training computer vision networks
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Apple ML Researchers Introduce ‘MobileViT’: A Light-Weight And General-Purpose Vision Transformer For Mobile Devices
Github: https://github.com/apple/ml-cvnets
SINet
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Project Help
https://github.com/DengPingFan/SINet.
What are some alternatives?
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.
PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
Put-In-Context - Putting Visual Object Recognition in Context
EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
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
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
HybridNets - HybridNets: End-to-End Perception Network