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Name: Julie Zhang
Type: User
Bio: Senior Data Scientist
Name: Julie Zhang
Type: User
Bio: Senior Data Scientist
Artificial Neural Networks package for R
Torch implementations of various types of autoencoders
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Develop code for an image classifier built with PyTorch, then convert it into a command line application.
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Project of IoT data stream mining course: Implementation of Concept Drift Algorithm (Adwin, DDM, Stream Volatility)
Anormaly Detection With Deep Learning Encoder Decoder(https://arxiv.org/abs/1607.00148?context=cs)
Use Python to understand U. S. bikeshare data.
Implement the extended Kalman filter in C++
Feature selector is a tool for dimensionality reduction of machine learning datasets
Build an algorithm to best identify potential donors and reduce overhead cost of sending mail.
Apply unsupervised learning skills to two demographics datasets, to identify segments and clusters in the population, and see how customers of a company map to them.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
An explanatory data visualization from the baseball dataset using Tableau.
If you build software, keep a changelog.
Anomaly detection implemented in Keras
Spatial pyramid pooling layers for keras
Repository containing notebooks of my posts on Medium
Extremely simple and fast extreme multi-class and multi-label classifiers.
An implementation of the Deep-Q Learning algorithm to train a Unity ML Agent to navigate (and collect bananas!) in a large, square world.
Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by Subspace Decomposition and Kalman Smoothing", IEEE Transaction on Instrumentation & Measurement.
PyTorch Tutorial for Deep Learning Researchers
Deep Learning sample programs using PyTorch in C++
Query the Sakila Movie database to answer questions about business decisions.
A complete exploratory data analysis of the red wine quality dataset using R.
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.