navdeep-G/robust-random-cut-forest

Stars
7
Rank 2,252,559 (Top 46 %)
Language
Python
License
Apache License 2.0
Created over 3 years ago
Updated almost 3 years ago

navdeep-G/robust-random-cut-forest

navdeep-G

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Implementation of the Robust Random Cut Forest algorithm for anomaly detection

setup.py

📦 A Human's Ultimate Guide to setup.py.

samplemod

showme

Quick application debugging and analysis for Python

flask-googlefed

Google Federated Logins for Flask.

exp-smoothing-java

Exponential Smoothing & Moving Average Models in Java

customer-churn

Customer churn analysis using Telco dataset

Jupyter Notebook

interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Jupyter Notebook

eng_join

An english joiner for Python.

py-programming

Overview of Programming in Python

kaggle

Jupyter Notebook

sdss-2019

Interpretable Machine Learning with rsparkling

h2o-r-examples

H2O-3 Examples in R

r-programming

Overview of R Programming

sparkling-water-emr

Launch Sparkling Water on EMR

stats-and-ml

The wonderful world of Statistics & Machine Learning

radix-sort-string

Sorts C-strings array's in alphabetical order

sdss-h2o-automl

Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA

snippets

Code snippets/workflows that I use day-to-day

jsm-2018

Joint Statistical Meeting 2018

wasm-cat

EDAStudio

A Shiny Application for Exploring Data

code-cracking

dimreduce4gpu

Dimensionality reduction ("dimreduce") on GPUs ("4gpu")

accuweather

A Java API for AccuWeather

model-gov

Model governance in h2o-3

buildGradleProject

Python script to build Gradle project

h2o3-pam

Implementation of Partitioning Around Medoids (PAM) in H2O-3

h2o3-gapstat

Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3

go-programming

quake

a Java API for querying earthquake data

machine-learning

Work I did for Andrew Ng's ML course.

h2o-ec2

Launch an H2O cluster in EC2 Classic

java-programming

Programming in Java

fair-ml

Fairness in AI and Machine Learning