karenyyng Goto Github PK
Name: Karen Ng
Type: User
Bio: Machine learning engineer / data scientist
Name: Karen Ng
Type: User
Bio: Machine learning engineer / data scientist
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A Python code for benchmarking the reading and processing of the airline delay CSV data
Machine learning, statistics, and data mining for astronomy and astrophysics
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
A curated list of resources dedicated to bayesian deep learning
A simple toy problem for testing hierarchical inference (extreme deconvolution) in the case where the individual object's model uncertainties are characterised by a set of posterior samples, rather than Gaussian-approximated likelihoods.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
ECP-CANDLE Benchmarks
Interactive Web Plotting for Python
scripts for calling MCMAC and postprocessing for outputs of MCMAC
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
A fork of the object-oriented, cosmology and halo model theoretical prediction library.
AstroData hackweek stuff
List of Machine Learning & Data Science Conferences
Cookiecutter template for a Python package.
Dask tutorial
Dockerfile for building different data science tools
A THW chapter at UC Davis
Dockerised Jupyter notebook with Octave kernel
Opinionated stacks of ready-to-run Jupyter applications in Docker.
the dot files of a control freak
The published dynamical analysis of El Gordo
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
Teaching material for Fall14 Phy 102 Intro to computational physics
Feature exploration for supervised learning
Analysis of the galaxy clusters in the cosmological simulation - Illustris simulation
Dockerfile for building Galsim
A Julia package for Gaussian Processes
Fast Gaussian Processes (GP) for regression
...with git and GitHub
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.