🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A curated list of awesome Deep Learning tutorials, projects and communities.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
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
machine learning and deep learning tutorials, articles and other resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
机器学习相关教程
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
TensorFlow tutorials and best practices.
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
:earth_americas: machine learning tutorials (mainly in Python3)
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
A text classification iOS app using tensorflow lite