The project will be updated continuously ...... 🔥

Machine learning + Deep learning examples

For many years, I have studied Machine Learning and practiced coding. This repository has published my source codes.

Requirement

All examples are written in Python language, so you need to setup your environments as below

• First, install ANACONDA

• Install TensorFlow from PyPI with the command

pip install tensorflow

• Install Keras from PyPI with the command

pip install keras

*** I used 2 library including TensorFlow and Keras for deep learning examples

• Install tqdm to make my loops show a smart progress meter

pip install tqdm

• Download FFmpeg (I used it to generate mpg.4) and install it. [some examples]

Table of Content

Title	Code Examples
Beginer	see
Machine learning/Deep learning (Basics)	see
Computer Vision	see
Natural Language Processing(NLP)	see
Speech, Audio, Music	see
Miscellaneous	see

My examples (not yet)

Beginer

• 📕 [Notebooks]

• 🐍 [Python]

  • Python in Mathayom_1_2_3
  • Python in Mathayom_4_5_6

• [NumPy]

• 📊 [Matplotlib]

• 🐼 [Pandas]

• 🔥 [Tensorflow]

• 🔥 [Keras]

• Prepare datasets

  • Getting dataset examples with Keras library.
  • Getting dataset examples with scikit-learn library.

• Activation function

Machine learning/Deep learning (Basics)

• 📈 Linear and nonlinear regression
  • 1 Predicting food truck.
  • 2 Predicting house price.
  • 3 Predicting Thailand population history.
  • 4 Predicting average income per month per household of Thailand (B.E 41-58).
  • 5 Predicting Boston house-prices.
• 📉 Logistic regression
• 🧘‍♂ Principal Component Analysis
• 📄 Text classification
• ✂ Classification and Clustering (compare between KK-N and K-means)
• 🌳 [Decision tree & Random Forests]
• Naive_Bayes_Classification
• Generic algorithm Computing the optimal road trip across 20 provinces of Thailand.
• ⛓ Neural network (multilayer perceptrons) paints an image.
• ⛓ Neural network
  • Calculating the logic.
  • Classifying the elements into two groups (binary classification).
• 🔮 Autoencoder
• 👀 Convolutional neural network
• 📝 Recurrent neural network
  • Showing AI writing HTML code, article and Thai novel.
• 👥 Generative adversarial network
• 🔢 MNIST example: showing 9 learning techniques to recognize handwritten digits including (using MNIST database of handwritten digits)
  1. Nearest neighbors
  2. Support vector
  3. Logistic regression
  4. Multilayer Perceptron (MLP)
  5. Convolutional neural network (CNN) with Convolution2D
  6. Convolutional neural network (CNN) with Convolution1D
  7. Recurrent Neural Networks (RNN)
  8. Long short-term memory (LSTM)
  9. Gated Recurrent Unit (GRU)
• 👬 Siamese Neural Network

Computer Vision

• 📸 ImageNet example: showing how to use models including (Convolutional neural network or CNN)
  1. Xception
  2. VGG16
  3. VGG19
  4. ResNet50
  5. InceptionV3
• 📸 Object detection
• 📸 [Object detection & Segmentation]
• 🤸‍♀ Pose estimation
• ✋ Hand Pose Estimation
• 😃 Face Recognition
• 🤣 Emotion classification
• 👳‍♂ Deepfake
• 📹 Porn detection
• 🖼 Colorizing
• Lane road detection
  • Highway-lane-tracker

Natural Language Processing(NLP)

• 📰 Tudkumthai that libraries including 1 thai-word-segmentation 2 Deepcut 3 Cutkum
• 📝 [Word Embeddings]
• 🎤 Language Models: GPT-2
• [seq2seq

Speech, Audio, Music

• 👨‍🎤 Speech Recognition
• 🎧

Miscellaneous

• 🛒 [Recommendation Systems]
• 🖼 Artistic style
• 💪 [Deep Q Learning] (in progress)
• 🐝 Transformer Networks
• 🎯 One-shot Learning
• 💻 Pix2Code
  • Generating Code from a Graphical User Interface Screenshot
• Trading in Thailand Stock

Cite

• https://paperswithcode.com/
• https://github.com/keras-team/keras/tree/master/examples