ZenMoore / NoahBone

Implementation of some basic models (not call to high-level toolkit, but low-level implementation).

NoahBone

Implementation of some basic models (not call to high-level toolkit, but low-level implementation).

Structure

• machine_learning : such as SVM/LR/etc.
• deep_learning : such as LSTM/CNN/ResNet/etc.
• reinforcement_learning : such as TD/actor-critic/etc.
• hot : recent popular work such as MLP/transformer/FPN/etc.
• misc : miscellaneous algorithms such as viterbi/etc.

Checklist

• Compressive Sensing : IRLS, OMP, IHT
• Logistic Regression & Softmax Regression
• Hidden Markov Model
• Support Vector Machine
• Radial Basis Function
• Expectation-Maximization
• waiting for more...

Note

For simple algos like CS(compressive sensing)/LR(logistic regression)/etc.:
The configuration is simply set in the code file as global attributes.
For complex algos like RNN/CNN/etc.:
The configuration is set in the .conf file or .yaml file.

About

ZenMoore@BUAA is a senior.