neural-network
29 repositories with 10k+ stars are tagged neural-network.
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- 1

An Open Source Machine Learning Framework for Everyone
- 2

Tensors and Dynamic neural networks in Python with strong GPU acceleration
- 3

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
- 4

💫 Industrial-strength Natural Language Processing (NLP) in Python
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Visualizer for neural network, deep learning and machine learning models
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Roadmap to becoming an Artificial Intelligence Expert in 2022
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A curated list of awesome Deep Learning tutorials, projects and communities.
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⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
- 9

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
- 10

ncnn is a high-performance neural network inference framework optimized for the mobile platform
- 11

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
- 12

Open standard for machine learning interoperability
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A WebGL accelerated JavaScript library for training and deploying ML models.
- 14

machine learning and deep learning tutorials, articles and other resources
- 15
microsoft/CNTKArchivedMicrosoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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Instant neural graphics primitives: lightning fast NeRF and more
- 17

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
- 18

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
- 19

Topic Modelling for Humans
- 20

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- 21

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
- 22
microsoft/nniArchivedAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
- 23

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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The "Python Machine Learning (1st edition)" book code repository and info resource
- 26

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
- 27

Low-code framework for building custom LLMs, neural networks, and other AI models
- 28

🐍 Geometric Computer Vision Library for Spatial AI
- 29

Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)