karenyyng Goto Github PK

followers: 79.0 following: 38.0 repos: 70.0 gists: 18.0

Name: Karen Ng

Type: User

Bio: Machine learning engineer / data scientist

Blog: http://karenyyng.github.io/

Karen Ng's Projects

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

airlinedelaybenchmark

A Python code for benchmarking the reading and processing of the airline delay CSV data

astroml

Machine learning, statistics, and data mining for astronomy and astrophysics

asv

Airspeed Velocity: A simple Python benchmarking tool with web-based reporting

awesome-bayesian-deep-learning

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.

benchm-ml

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.).

benchmarks

ECP-CANDLE Benchmarks

bokeh

Interactive Web Plotting for Python

call_mcmac

scripts for calling MCMAC and postprocessing for outputs of MCMAC

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

chomp

A fork of the object-oriented, cosmology and halo model theoretical prediction library.

clustering

AstroData hackweek stuff

conferences

List of Machine Learning & Data Science Conferences

cookiecutter-pypackage

Cookiecutter template for a Python package.

dask-tutorial

Dask tutorial

datasciencetools

Dockerfile for building different data science tools

davis

A THW chapter at UC Davis

docker-octave-notebook

Dockerised Jupyter notebook with Octave kernel

docker-stacks

Opinionated stacks of ready-to-run Jupyter applications in Docker.

dotfiles

the dot files of a control freak

elgordo_paper1

The published dynamical analysis of El Gordo

factorie

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.