https://github.com/hiedt/difs

Source code implemented from scratch by myself. For studying purpose only. The following topics are covered.
https://github.com/hiedt/difs

algorithms artificial-intelligence data-structures deep-learning engineering machine-learning mathematics signal-processing simulation

Last synced: about 1 month ago
JSON representation

Source code implemented from scratch by myself. For studying purpose only. The following topics are covered.

• Host: GitHub
• URL: https://github.com/hiedt/difs
• Owner: hiedt
• Created: 2020-03-09T05:34:15.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-11-24T17:46:30.000Z (about 1 month ago)
• Last Synced: 2024-11-24T18:27:42.503Z (about 1 month ago)
• Topics: algorithms, artificial-intelligence, data-structures, deep-learning, engineering, machine-learning, mathematics, signal-processing, simulation
• Language: Jupyter Notebook
• Homepage:
• Size: 2.14 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# DIFS - DO IT FROM SCRATCH

Everything I have learned, from data structures & algorithms to machine learning & robotics, is coded solely from scratch.

The bare mininum packages used here are just numerical toolboxes such as PyTorch or Numpy. Some tasks, e.g., control theory, are done in MATLAB/Simulink.

Codes are saved here publicly for my future review. Each package contains a README.md file that describes more details about things inside:

## Traditional machine learning algorithms

- [x] Linear regression (extend) => Compare **regression** with **interpolation**

- [x] Logistic regression

- [x] Decision tree

- [x] Softmax regression

- [x] k-Nearest Neighbor

- [x] DBSCAN (Density-Based Spatial Clustering of Applications with Noise)

- [ ] Support vector machine

## Deep learning

- [x] Fully-connected network

- [x] Convolutional network

- [ ] Long short-term memory

- [ ] Transformer

## Signal Processing (SSP)

- [ ] Estimators

- [ ] FIR/IIR Filters

- [ ] Hypothesis testing & classical inference algorithms

- [ ] Optimizers

## Control Theory

- [x] Model-based fault detection using parity method

- [x] Fault-tolerance control with virtual sensor and virtual actuator

- [ ] Model-free fault detection using statistics