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Python - 100天从新手到大师
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
The fastai book, published as Jupyter Notebooks
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
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A collection of various deep learning architectures, models, and tips
📡 Simple and ready-to-use tutorials for TensorFlow
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Your new Mentor for Data Science E-Learning.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
《Python Cookbook》 3rd Edition Translation
Best Practices, code samples, and documentation for Computer Vision.
《动手学大模型Dive into LLMs》系列编程实践教程
TensorFlow Tutorials with YouTube Videos
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Build your neural network easy and fast, 莫烦Python中文教学
Image restoration with neural networks but without learning.
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
From the basics to slightly more interesting applications of Tensorflow
Efficient Image Captioning code in Torch, runs on GPU
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Reference models and tools for Cloud TPUs.