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bayesianoptimization

A Python implementation of global optimization with gaussian processes.

build-extra

Additional files and scripts to help build Git for Windows on MSYS2.

clean_pythonic_code_working_group

codingground

Main Repository for Coding Ground

corrplot

Package corrplot is for visualizing a correlation matrix

eclipse

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

git-for-windows.github.io

The website for the upcoming version 2.x of Git for Windows

git101

Tutorial on git and GitHub for beginners

hello-world

Hello World's in our favorite languages! A Hacktoberfest 2018 repository.

java-calulator

libsvm

machine_learning_projects

Making predictions using logistic regression, naive Bayes, random forest and more

multiprocessing-intro

An introduction to multiprocessing in Python presented by Aaron Allen on 10/5/18

ovaproject

This is a project in which an optical variable attenuator is driven and controlled by arduino pro mini

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python_udacity

This is my Udacity programming 101 Python class repository.

qvz

A Lossy compressor for Quality Scores in Genomic Data

scikit-learn

scikit-learn: machine learning in Python

sevntu.checkstyle

Additional Checkstyle checks, that could be added as extension to EclipseCS plugin and maven-checkstyle-plugin, Sonar checkstyle plugin, extension for CheckStyle IDEA plugin.

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

spearmint-1

Spearmint Bayesian optimization codebase

testing

the-nature-of-code-examples

Repository for example code from The Nature of Code book

tr-datachallenge2

In this challenge, we will provide you with thousands of room images and expect you to label them into one of the three categories– Bedroom, Bathroom or Kitchen. Build your own cutting-edge deep learning model to win the competition!

wechat-deleted-friends

查看被删的微信好友