dawei756 Goto Github PK

clrs

:notebook:Solutions to Introduction to Algorithms

computingbootcamp2017

Computing and reproducibility bootcamp for Duke StatSci graduate students.

d3cesium

Demo web app featuring Cesium and d3 libraries

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

flasky

Companion code to my O'Reilly book "Flask Web Development".

frontend-nanodegree-resume

googlecharts

Google Charts bindings for the Shiny web framework for R

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ipythontheanotutorials

learningdataminingwithpython

Updated code for the Learning Data Mining With Python book

leetcode

leetcode-1

Solutions of All 335 LeetCode Questions

leetcodejava

Leetcode problem in Java

lime

Lime: Explaining the predictions of any machine learning classifier

machine_learning_examples

A collection of machine learning examples and tutorials.

mlpb

Machine Learning Problem Bible | Problem Set Here >>

natural-language-processing

Open Course of Stanford University

nb-tan-classfiers

A program that implements both naive Bayes and TAN (tree-augmented naive Bayes) in Python.

pyautodiff

Automatic differentiation for NumPy

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

shiny-examples

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.