phlippe/uvadlc_notebooks Alternatives

calls uvadlc_notebooks “choose it for a similarly annotated, actively maintained Jupyter-notebook collection of deep learning model 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, ... 🧠

calls uvadlc_notebooks “choose for a modern, comprehensive university deep learning course with PyTorch notebooks and exercises.”

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

calls uvadlc_notebooks “Choose when you want a current university deep-learning course with PyTorch notebooks and more in-depth exercises than MIT 6.S191.”

Lab Materials for MIT 6.S191: Introduction to Deep Learning

calls uvadlc_notebooks “For a modern, academic deep learning tutorial series from UvA.”

A resource for learning about Machine learning & Deep Learning

calls uvadlc_notebooks “Choose it for a comprehensive, modern PyTorch tutorial with up-to-date practices and rich exercises.”

Build your neural network easy and fast, 莫烦Python中文教学

calls uvadlc_notebooks “Choose for an up-to-date academic deep-learning notebook suite using PyTorch.”

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

calls uvadlc_notebooks “choose it for an actively maintained university deep learning course with PyTorch notebooks.”

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

calls uvadlc_notebooks “University deep learning course notebooks with assignments, a different structured approach.”

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

calls uvadlc_notebooks “Pick for detailed university-style Jupyter notebooks on deep learning, but it is in English and code-oriented.”

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

calls uvadlc_notebooks “Use for an advanced academic PyTorch deep learning course with both theory and practice.”

:satellite: Simple and ready-to-use tutorials for TensorFlow

calls uvadlc_notebooks “When you want academic deep learning notebooks (PyTorch) from a university course, better for a formal DL curriculum.”

A collection of machine learning examples and tutorials.

calls uvadlc_notebooks “When you already know ML basics and want rigorous advanced PyTorch deep learning notebooks from the UvA course.”

AI实战-practicalAI 中文版