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PyTorch

PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
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Clone a voice in 5 seconds to generate arbitrary speech in real-time
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YOLOv5
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Learn how to responsibly develop, deploy and maintain production machine learning applications.
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PyTorch Tutorial for Deep Learning Researchers
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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
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The fastai deep learning library
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PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
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OpenMMLab Detection Toolbox and Benchmark
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Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.
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Visualizer for neural network, deep learning, and machine learning models
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Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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Image-to-Image Translation in PyTorch
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pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
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Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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Graph Neural Network Library for PyTorch
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Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release 23 days ago
- Repository
- pytorch/pytorch
- Website
- pytorch.org
- Wikipedia
- Wikipedia