nyjgary

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New York, NY

Gary Ng's starred repositories

pymc-marketing

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Language:PythonApache-2.064200

data-engineering-zoomcamp

Free Data Engineering course!

Language:Jupyter Notebook2429300

tennis-crystal-ball

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Language:JavaApache-2.024500

tennis_atp

ATP Tennis Rankings, Results, and Stats

statrethink_course_in_pymc3

Statistical Rethinking course in pymc3

Language:Jupyter Notebook14300

statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Language:C++MIT1649400

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Language:PythonMIT1235600

inter_workshop

Workshop materials for ODSC 2019 Interpretability Talk

Language:Jupyter Notebook2400

visualization-curriculum

A data visualization curriculum of interactive notebooks.

Language:Jupyter NotebookBSD-3-Clause127500

ODSC_East_2019_Deploy_DS_Apps

Slides and Code Samples for ODSC East 2019 Talk on Deploying Data Science Applications

Language:Python1500

Soss.jl

Probabilistic programming via source rewriting

Language:JuliaMIT41400

introspective

Repo for the ML_Insights python package

Language:Jupyter NotebookMIT14400

ml-workshop-2-of-4

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

Language:HTMLMIT12500

fuzzywuzzy

Fuzzy String Matching in Python

Language:PythonGPL-2.0920600

libpostal

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

Language:CMIT402100

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Language:Jupyter Notebook67100

mli-resources

H2O.ai Machine Learning Interpretability Resources

Language:Jupyter Notebook48100

Customer-Analytics

Customer Analytics & Financial Valuation for Zakka Canada. This is the associated iPython Notebook code.

Language:Jupyter Notebook2400

altair-tutorial

Notebooks for the Altair tutorial

Language:Jupyter NotebookMIT34900

shap

A game theoretic approach to explain the output of any machine learning model.

Language:Jupyter NotebookMIT2236400

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Language:Jupyter NotebookMIT3699300

Seq2Seq-PyTorch

Sequence to Sequence Models with PyTorch

Language:PythonWTFPL73300

seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

Language:PythonMIT68800

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

MIT1131100

PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

Language:Python387200

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Language:Jupyter NotebookApache-2.02515500

deep-visualization-toolbox

DeepVis Toolbox

Language:PythonMIT400600

study-group

Deep Learning Study Group

Language:Jupyter NotebookMIT30300