iamxiaodong Goto Github PK
Name: Xiaodong Jiang
Type: User
Company: Facebook
Bio: Research data scientist @ Facebook
Location: Menlo Park, CA
Name: Xiaodong Jiang
Type: User
Company: Facebook
Bio: Research data scientist @ Facebook
Location: Menlo Park, CA
Public material for CS109
Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome network analysis resources.
Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition
Caffe: a fast open framework for deep learning.
A collection of talks and tutorials from conferences I attend
Official content for Harvard CS109
A technical report on convolution arithmetic in the context of deep learning
Utils for converting between date formats and calculating holidays
Analyses of CRAN packages
This is a course project in CSCI8360 at University of Georgia
Task scheduling and blocked algorithms for parallel processing
General Assembly's Data Science course in Washington, DC
my solutions to the exercises in book Data Structures and Algorithms in Python
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Deep Residual Learning for Image Recognition
Misc Functions of the Department of Statistics (e1071), TU Wien
Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
This folder contains the ESSC method for Community Extraction in R
Multi-core implementation of Regularized Greedy Forest
Implementation of Graph Convolutional Networks in TensorFlow
Python wrapper for the Investor's Exchange (IEX) Developer API (https://iextrading.com/developer/)
Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Predict a purchased policy based on transaction history.
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.