Awesome Data Analysis
Section: Data Sources & Datasets · The torchvision.datasets module provides many built-in computer vision datasets.
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PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
Section: Data Sources & Datasets · The torchvision.datasets module provides many built-in computer vision datasets.
Section: Deep Learning Packages
Section: VGG
Section: 8. MLOps / LLMOps & Production · PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
Section: Other · Datasets, Transforms and Models specific to Computer Vision
Section: Computer Vision · Datasets, Transforms, and Models specific to Computer Vision.
Section: CV&PyTorch实战 · :Torchvision是独立于pytorch的关于图像操作的一些方便工具库。主要包括:vision.datasets 、vision.models、vision.transforms、vision.utils 几个包,安装和使用都非常简单,感兴趣的小伙伴们可以参考以上链接。
Section: CV: · Datasets, Transforms and Models specific to Computer Vision.
Section: General · MMdnn
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
An awesome repository full of open datasets from an abundance of different categories.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.
Allows the user to manipulate documents based on data to render charts in SVG.
Easy way for everyone in your company to ask questions and learn from data. (Source Code) AGPL-3.0 Java/Docker
Neural Networks on top of tensorflow, examples. keras-contrib - Keras community contributions. keras-tuner - Hyperparameter tuning for Keras. hyperas - Keras + Hyperopt: Convenient hyperparameter optimization wrapper. elephas - Distributed Deep learning with Keras & Spark. tflearn - Neural…