Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Catalyst | 3,151 | 19 | 19 | 10 months ago | 108 | April 29, 2022 | 6 | apache-2.0 | Python | |
Accelerated deep learning R&D | ||||||||||
Simplecvreproduction | 1,021 | a year ago | 3 | apache-2.0 | Jupyter Notebook | |||||
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc. | ||||||||||
Paddlevit | 951 | 2 years ago | 31 | apache-2.0 | Python | |||||
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+ | ||||||||||
Auto_maker | 61 | 3 years ago | 2 | Python | ||||||
大家好,这是cv调包侠开源原创项目,您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成,包括:实时数据采集、自动标注、转换、增强,并可以直接进行yolov3、yolov4、yolov5、eficientdet等,它可以直接导出到onnx,通过openvino和tensor-RT加速,除了检测外,还支持分类算法,可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~ | ||||||||||
Cv Cnn | 27 | 6 years ago | 3 | Matlab | ||||||
Cv Benchmarks | 19 | 6 years ago | Shell | |||||||
CV-Benchmarks: Following the current benchmarks for the most common Computer Vision (CV) tasks. | ||||||||||
Kaggle Ai | 8 | a year ago | apache-2.0 | |||||||
Categorize AI problems and record through kaggle, Google's data science website | ||||||||||
Python All | 7 | 5 years ago | Jupyter Notebook | |||||||
all code used by python(including web-crawler,deeplearning) | ||||||||||
Vqa Flask App | 5 | 3 years ago | n,ull | mit | Python | |||||
A simple Flask app to generate answer given an image and a natural language question about the image. The app uses a deep learning model, trained with Tensorflow, behind the scenes. | ||||||||||
Fastai_audio | 5 | 5 years ago | 2 | mit | Jupyter Notebook | |||||
Add-on module for FastAI for audio data & Examples of audio classifications |