A collection of AI-centered notebooks with links to run.
Clicking the right side button will lead you to preview or run the notebooks.
| Repo | Preview | Run |
|---|---|---|
| A Whirlwind Tour of Python | ||
| learning Python 3 through jupyter notebooks | ||
| 自学是门艺术 李笑来 |
| Repo | Preview | Run |
|---|---|---|
| Computational Linear Algebra, University of San Francisco (Fast.ai) | ||
| ThinkStats2, Allen B. Downey |
| Repo | Preview | Run |
|---|---|---|
| 吴恩达机器学习课程笔记, 黄海广 整理 | ||
| 李航《统计学习方法》的代码实现, 黄海广 整理 | ||
| 机器学习初学者, 黄海广 | ||
| Homemade Machine Learning | ||
| Udacity's Machine Learning curriculum | ||
| Hands-on Machine Learning with Scikit-Learn and TensorFlow: |
| Repo | Preview | Run |
|---|---|---|
| A Code-First Intro to Natural Language Processing, USF (fast.ai) |
| Repo | Preview | Run |
|---|---|---|
| Best Practices on Recommendation Systems, Microsoft |
| Repo | Preview | Run |
|---|---|---|
| TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | ||
| Machine Learning with TensorFlow, | ||
| TensorFlow Tutorials |
| Repo | Preview | Run |
|---|---|---|
| PyTorch 中文手册 | ||
| Deep Learning V2 PyTorch, Udacity |
| Repo | Preview | Run |
|---|---|---|
| Jupyter notebooks for using & learning Keras |
| Repo | Preview | Run |
|---|---|---|
| Python notebooks with ML and deep learning examples with Azure Machine Learning, Microsoft | ||
| Deploying ML models within AWS SageMaker |
| Repo | Preview | Run |
|---|---|---|
| ParcticalAI: A practical approach to machine learning | ||
| AI实战-practicalAI 中文版 | ||
| 微软人工智能教育与学习共建社区 |
| Repo | Preview | Run |
|---|---|---|
| Python for Signal Processing | ||
| Think DSP: Digital Signal Processing in Python, by Allen B. Downey | ||
| Mining the Social Web, 3rd Edition |