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augmentor

Image augmentation library in Python for machine learning.

aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

babi-tasks

Task generation for testing text understanding and reasoning

cancertypeprediction

This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

default-credit-card-prediction

Machine Learning Project for predicting Credit Card Defaults

dmn-tensorflow

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

docker

Use R, Rstudio, Shiny, Radiant, Python, and Jupyter in a Docker container

eda_class1

fastai

fastai learning

git-recover

git-recover: recover deleted files in your repository

introduction-nlp

HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

latest-news-classifier

Master in Data Science Final Project

memn2n-babi-python

End-To-End Memory Networks for bAbI question-answering tasks

multivariate-exploratory-analysis

Code for the Multivariate Exploratory Analysis course

nlpcc2017_news_headline_categorization

NLPCC2017示例代码以及数据描述

octave

my octave exercises for 2011 stanford machine learning class, posted after the due date of course

pos-taggers

Part-of-Speech Tagging Models in Python

python_learning

scikit-learn

scikit-learn: machine learning in Python

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

severstal-steel-defect-detection

Severstal is leading the charge in efficient steel mining and production. They believe the future of metallurgy requires development across the economic, ecological, and social aspects of the industry—and they take corporate responsibility seriously. The company recently created the country’s largest industrial data lake, with petabytes of data that were previously discarded. Severstal is now looking to machine learning to improve automation, increase efficiency, and maintain high quality in their production. The production process of flat sheet steel is especially delicate. From heating and rolling, to drying and cutting, several machines touch flat steel by the time it’s ready to ship. Today, Severstal uses images from high frequency cameras to power a defect detection algorithm.

target-encoding

Comparison between label, one-hot, target, and cross-fold target encoding

tensorflow

An Open Source Machine Learning Framework for Everyone

text_classification_using_em_and_semisupervied_learning

topic-modelling-with-latent-dirichlet-allocation

Implementation of Blei, Andrew Ng, Jordan paper of LDA

unet

unet for image segmentation

vision