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deep-learning-tutorial

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

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annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

  • Updated Jun 27, 2024
  • Python

This repository is dedicated to the implementation of various seminal deep learning architectures for computer vision. Whether you are a researcher, student, or practitioner, you'll find comprehensive implementations, training scripts, and documentation for some of the most influential models in the field.

  • Updated Jun 27, 2024
  • Python
computer-vision-in-action

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

  • Updated May 27, 2024
  • Jupyter Notebook

Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!

  • Updated May 17, 2024
  • Jupyter Notebook
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