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torchvision

Appears in 9 awesome lists

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.

Open github.compytorch/vision

Found in these lists

Awesome Data Analysis

Section: Data Sources & Datasets · The torchvision.datasets module provides many built-in computer vision datasets.

FreshScore 80

AWESOME DATA SCIENCE

Section: Deep Learning Packages

FreshScore 92

Awesome - Image Classification

Section: VGG

StaleScore 47

Awesome Open Source AI

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.

FreshScore 89

awesome-python

Section: Other · Datasets, Transforms and Models specific to Computer Vision

FreshScore 81

Awesome Python Data Science

Section: Computer Vision · Datasets, Transforms, and Models specific to Computer Vision.

ActiveScore 71

Awesome PyTorch Chinese

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。

StaleScore 54

Awesome-Pytorch-list

Section: CV: · Datasets, Transforms and Models specific to Computer Vision.

FreshScore 88

Deep Learning Model Convertors

Section: General · MMdnn

StaleScore 44

TensorFlow

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awesome-public-datasets

An awesome repository full of open datasets from an abundance of different categories.

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PyTorch

(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.

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Netron

Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).

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Polyaxon

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.

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D3.js

Allows the user to manipulate documents based on data to render charts in SVG.

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Metabase

Easy way for everyone in your company to ask questions and learn from data. (Source Code) AGPL-3.0 Java/Docker

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Keras

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…

In 8 listsDetails