Pinned Repositories
assignment
Assignments and Graders for Discrete Optimization on Coursera
automateBoringstuffPython
Automate the Boring Stuff With Python Practice and Project Repository
CaseWesternReserveUniversityData
challenge_cnn_tf
cs50seminar
Data Science with Python Pandas
CUCUMBER-9
data_mining_2017_fall_lab
Contains information and instructions for the first Data Mining lab session for 2017 Fall.
data_mining_hw_1
Contains information for the first assignment of Data Mining 2017 Fall, NTHU.
data_mining_lab_fall_2
deep-learning-HAR
Convolutional and LSTM networks to classify human activity
pkl520's Repositories
pkl520/assignment
Assignments and Graders for Discrete Optimization on Coursera
pkl520/automateBoringstuffPython
Automate the Boring Stuff With Python Practice and Project Repository
pkl520/CaseWesternReserveUniversityData
pkl520/challenge_cnn_tf
pkl520/data_mining_2017_fall_lab
Contains information and instructions for the first Data Mining lab session for 2017 Fall.
pkl520/data_mining_hw_1
Contains information for the first assignment of Data Mining 2017 Fall, NTHU.
pkl520/data_mining_lab_fall_2
pkl520/deep-learning-HAR
Convolutional and LSTM networks to classify human activity
pkl520/deep-learning-with-keras-notebooks
Jupyter notebooks for using & learning Keras
pkl520/FCWTA_AE
fully connected winner-take-all autoencoder for diagnosis
pkl520/GE
Genetic Algorithm by Python
pkl520/hw1
pkl520/Intelligent-Manufacturing-Systems
NCKU 成功大學-Intelligent Manufacturing Systems 智慧型製造系統
pkl520/iot-predictive-maintenance
pkl520/ipython-in-depth
IPython in-depth Tutorial, first presented at PyCon 2012
pkl520/keras-visualize-activations
Activation Maps Visualization for Keras.
pkl520/ml-workshop-image-recognition
The resources for our ML Workshop about Image Recognition
pkl520/ODSC17
https://www.odsc.com/boston
pkl520/pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
pkl520/PSO
Particle Swarm Algorithm by Python
pkl520/pythondata
repo for code published on pythondata.com
pkl520/scipy-2017-tutorial-pandas
SciPy 2017 Pandas Tutorial
pkl520/SemiCon-Wafermap-Failure-Recognition
This notebook shows how machine learning techniques can apply in Semi-conductor Industry.
pkl520/SSVAE
try out bearing fault diagnosis with semi-supervised vae
pkl520/talos
Hyperparameter Optimization for Keras Models
pkl520/temp
temp files
pkl520/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
pkl520/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
pkl520/train-robot-arm-from-scratch
Build environment and train a robot arm from scratch (Reinforcement Learning)
pkl520/UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification