Kenneth Chung's repositories
Michigan-Applied-Data-Science-with-Python
This repo contains the jupyter notebook materials and problem solutions for the applied data science course with python offered by University of Michigan on Cousera.
NVDM-GSM
A tensorflow implementation of the neural variational topic,document model with Gaussian Softmax Construction (GSM).
scholar
Neural models for documents with metadata
stc3-baseline
A BiLSTM+BoW baseline model for NTCIR14-STC3 DQ and ND subtasks
stc3-dataset
The dataset for NTCIR14-STC3 DQ and ND subtasks
100-Days-Of-ML-Code
100 Days of ML Coding
LeetCode
:pencil: Python / C++ 11 Solutions of All LeetCode Questions
learning-nlp
nlp in action
text-segmentation
Implementation of the paper: Text Segmentation as a Supervised Learning Task
abstractiveTextSummarization
This repo serves as implementation of several seq2seq model, most focused on text summarization
NLU-in-Finance_homework
《中文自然语言理解在金融领域的应用》作业仓库
gpu_mon
Python script which monitors gpu access
CNN-with-Dual-Local-and-Global-Attention
Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
Kid2Programming
This repo contains materials for teaching a kid on basic programming. But it also serves as a introduction for anyone who are interested in programming.
PyTorch_homework
《火炬上的深度学习（下）》作业仓库
grokking_algorithms
Code for the book Grokking Algorithms (http://manning.com/bhargava)
LiBaiPoem
The interactive Chinese poem generation system
SB233.github.io
SB233 Blog
cheat-sheet
速查表包括了 Vim, Git, Shell, Gcc, Gdb 常用命令及快捷键
multiCrawlers
Different web Crawlers templates implemented in Python to make life easier
ADEM
TOWARDS AN AUTOMATIC TURING TEST: LEARNING TO EVALUATE DIALOGUE RESPONSES
2017-Summer-NMT
This contains the jupyter notebook slides for the introduction to Neural Machine Translation
DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
Udemy-Python-Data-Science-and-Machine-Learning-Bootcamp
This is my journey on studying the data science with Python on Udemy, following the instructions of Jose Portilla. These are basic models of machine learning and data analysis, with some personal modifications and comments.
PyTorch-Tutorial
Build your neural network easy and fast
models
Models built with TensorFlow