Machine learning Tech

Notes focus on the application and implementation of machine learning algorithms.

• 0_framworks: Framework tutorial from sklearn, keras, tensorflow to pytorch.
• 1_industrial tricks: Useful code snippets for practical ML research.
• 2_tools: Side tools for practical application of ML research.
• 3_implementations: Implementation of some specific topics.

Recommendation

If you just want to apply ML in code, there is a way better repo: https://github.com/ageron/handson-ml2