iamxiaodong Goto Github PK

2015

Public material for CS109

algorithms-sedgewick-python

Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python

auto-sklearn

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-network-analysis

A curated list of awesome network analysis resources.

axa_telematics

Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition

caffe

Caffe: a fast open framework for deep learning.

conf

A collection of talks and tutorials from conferences I attend

content

Official content for Harvard CS109

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convertdate

Utils for converting between date formats and calculating holidays

cran_analysis

Analyses of CRAN packages

csci-6730-operating-system

csci8360-projects

This is a course project in CSCI8360 at University of Georgia

dask

Task scheduling and blocked algorithms for parallel processing

dat8

General Assembly's Data Science course in Washington, DC

data-structures-and-algorithms-in-python

my solutions to the exercises in book Data Structures and Algorithms in Python

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

deep-residual-networks

Deep Residual Learning for Image Recognition

e1071

Misc Functions of the Department of Statistics (e1071), TU Wien

elements-of-statistical-learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

essc

This folder contains the ESSC method for Community Extraction in R

facebook-intern-leetcode

fast_rgf

Multi-core implementation of Regularized Greedy Forest

gcn

Implementation of Graph Convolutional Networks in TensorFlow

iexfinance

Python wrapper for the Investor's Exchange (IEX) Developer API (https://iextrading.com/developer/)

interactive-coding-challenges

Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

kaggle-allstate

Predict a purchased policy based on transaction history.

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.