/Machine-Learning-is-ALL-You-Need

🔥🌤🪐《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, pytorch, tensorflow, keras & the most important, from scratch!💪 This repository is ALL You Need!

Primary LanguagePython

Machine-Learning-Basic-Codes🏆

朱子云：

所谓致知在格物者，言欲致吾之知，在即物而穷其理也。盖人心之灵，莫不有知，而天下之物，莫不有理。惟于理有未穷，故其知有不尽也。是以大学始教，必使学者即凡天下之物，莫不因其已知之理而益穷之，以求至乎其极。至于用力之久，而一时豁然贯通焉，则众物之表里精粗无不到，而吾心之全体大用无不明矣。

📐📏

本代码库通过 sklearn 标准机器学习库以及自己编写的类两种方式，实现了基本的机器学习算法。

  • Common Machine Learning Part: 通过更改主函数中的 use_sklearn flag 即可切换；

  • Deep Learning Part: use_sklearn, use_keras, use_torch以及 Self-implement 四种实现方式；

  • Applications Part: RL + NLP + CV

Regression

  1. Single Linear Regression

  2. Multiple Linear Regression

Classification

  1. Logistic Regression

  2. KNN

  3. Support Vector Machine

  4. Naive Bayes

Regression & Classification

  1. Decision Tree

  2. Random Forest

Neural Network

  1. Feedforward Neural Network

  2. Convolutional Neural Network

  3. LSTM

Unsupervised Learning

  1. PCA

  2. K-Means

Ensemble Model

  1. Boosting

Reinforcement Learning

  1. Deep Q Network: Q-learning(Tabular), DQN

  2. Policy Proximate Optimization: Vanilla Policy Gradient, TRPO, PPO

  3. Actor Critic: AC, A2C, A3C

  4. Deep Deterministic Policy Gradient: DDPG, TD3

  5. Soft Actor Critic

Computer Vision

  1. GAN

  2. Resnet

Natural Language Processing

  1. Transformer

  2. BERT