melodyguan Goto Github PK

2015lab1

2015lab10

2015lab11

Overview of a project: Food Inspection Forecasting

2015lab2

2015lab3

2015lab5

Lab 5, the first on Machine Learning!

2015lab6

2015lab7

Decison Trees, Random Forrests, Ensemble Methods

2015lab8

AWS, Vagrant, and Spark

2015lab9

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

alexirpan.github.io

Repo backing personal website

crowdlayer

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

image-captioning

melodyguan.github.io

pyqt-fit

Automatically exported from code.google.com/p/pyqt-fit

rminds

Sample R code for visualising models (especially models in data space)

stat-189labs

lab notes

tensorflowrbf

This repository explores the design of a Radial Basis Function and related functions (like K-Means) for use with TensorFlow.