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kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

kaggle_instacart_market_analysis

kaggle_mercedes-benz_competition

kaggle_ncfm

Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%

kaggle_ndsb2017

Kaggle datascience bowl 2017

kaggle_personalized_medicine_competition

kaggleeeg

This repo is for our work on a Kaggle Competition.

kaggletils

keras-frcnn

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

lasagne4bio

lectures

Oxford Deep NLP 2017 course

leetcode-sol-res

Clean, Understandable Solutions and Resources for LeetCode Online Judge Algorithms Problems.

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

lungcancer

Kaggle Data Sicence Bowl 2017

machine-learning-for-proteins

Listing of papers about machine learning for proteins.

machinelearning

Machine learning resources

machinelearning_python

机器学习算法python实现

mlalgorithms

Minimal and clean examples of machine learning algorithms

mlens

mlens – a library for ensemble learning

mlpack

mlpack: a scalable C++ machine learning library --

mobile-applications

models

Models built with TensorFlow

musitedeep

MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep learning library Keras and Theano backend. At present, MusiteDeep only provides prediction of human phosphorylation sites; however, it also provides customized model training that enables users to train other PTM prediction models by using their own training data sets based on either CPU or GPU.

notes-and-tutorials

JS, Ruby, SQL, etc

np_ml

A tool library of classical machine learning algorithms with only numpy.

object-detector-app

opencv

Open Source Computer Vision Library

practical-programming-books

这里收录比较实用的计算机相关技术书籍，可以在短期之内入门的简单实用教程、一些技术网站以及一些写的比较好的博文，欢迎Fork，你也可以通过Pull Request参与编辑。

prml

PRML algorithms implemented in Python