karenyyng

mathjax-in-instant-markdown-for-vim

Added modifications to allow the display of LaTeX for previewing them in markdown

dotFiles

the dot files of a control freak

MyPublicGists

Notes & cheatsheets of a data scientist

shear_gp

code for using GP for inferring the 2D lensing potential. Accompanying gaussian process repo is:

galaxy_DM_offset

Analysis of the galaxy clusters in the cosmological simulation - Illustris simulation

karenyyng.github.io

Musings of a Data Scientist

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

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

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

cartographer

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

conferences

List of Machine Learning & Data Science Conferences

cookiecutter-pypackage

Cookiecutter template for a Python package.

dask-tutorial

Dask tutorial

featexp

Feature exploration for supervised learning

GraphicalModelsPython

ibench-2

Benchmarks for python

jupyter_contrib_nbextensions

A collection of various different notebook extensions for Jupyter

miniconda3_devenv

my docker environment for ML projects

ML_devenv

docker file of a Python environment for developing machine learning projects

ModelZoo

neon model zoo

Optimized-Torch-benchmark

Benchmark for Intel®Software Optimization for Torch, fork from soumith/convnet-benchmarks

pdxsc2

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pydaal-tutorials

Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library

pytorch-rnn-benchmark

scikit-image

Image Processing SciKit (Toolbox for SciPy)