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Name: Sijie Xiang
Type: User
Company: Carnegie Mellon University
Bio: BU 18 | CMU 22
Location: San Francisco Bay Area, CA, USA
Name: Sijie Xiang
Type: User
Company: Carnegie Mellon University
Bio: BU 18 | CMU 22
Location: San Francisco Bay Area, CA, USA
A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these. For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
Hands-On Data Structures and Algorithms with Python Second Edition, published by Packt
Minimal examples of data structures and algorithms in Python
Pytorch implementation of various Attention Mechanism
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Code examples for my Write Better Python Code series on YouTube.
A full fledged bike rental system implemented in Python using object oriented programming
Simple blockchain structure demonstration
A pytorch implementation of Capsule Network.
Pytorch easy-to-follow Capsule Network tutorial
Building a Simple Chatbot from Scratch in Python (using NLTK)
This the official repository for consumeAPIs: Mock Objects and Unit Testing
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Predicting Cancer Malignancy with a 2 layer neural network coded from scratch in Python.
PyTorch implementations of deep reinforcement learning algorithms and environments
Common GOF Patterns implemented in Python
Learn Pytorch framwork by running code line by line
All course files for the Docker Crash Course tutorial on the Net Ninja site & YouTube channel.
Repository for CS 506 / ENG 500 as taught by Mark Crovella - BU Computer Science
Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
This is the FARM Stack course, where you are going to learn how to build an application from scratch using FASTAPI, React and mongoDB
This is a repo to accompany a FastAPI tutorial series
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
This git repo is primarily used for my learning of git control
Graph Convolutional Networks in PyTorch
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.