In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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
:satellite: Simple and ready-to-use tutorials for TensorFlow
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》)
This repository contains demos I made with the Transformers library by HuggingFace.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
A course in reinforcement learning in the wild
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
验证码识别
TensorFlow Tutorials
CatBoost tutorials repository
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
A series of machine learning tutorials for Torch7
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
tutorials made for biologists to learn deep learning
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.