ml-cvnets
Awesome-ComputerVision
| ml-cvnets | Awesome-ComputerVision | |
|---|---|---|
| 4 | 6 | |
| 1,681 | 98 | |
| 1.4% | - | |
| 4.8 | 1.3 | |
| 6 months ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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
Awesome-ComputerVision
- I'm update Awesome Computer Vision (added MAE paper, classification)
- Github - I made Awesome Computer Vision. Current content created includes Classification, Segmentation, Detection, Fine grained Recognition, Self-superviseld Learning, Meta Learning. Unlike the existing Awesome, Kaggle and colab running code were added. Thanks for attention
- I made Awesome Computer Vision to celebrate Christmas...!
- I made Awesome Computer Vision
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I made Awesome Computer Vision..!
Awesome ComputerVision
What are some alternatives?
semantic-segmentation-pytorch - Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
time-series-transformers-review - A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
Tabular - Useful code for tabular modeling and automation.
SINet - Camouflaged Object Detection, CVPR 2020 (Oral)
lightning-flash - Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
sigmarsgarden - Opus Magnum's Sigmar's Garden Autosolver, using OpenCV Template Matching
dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/