JiaRunYing

record of reading papers

为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。

Models and examples built with TensorFlow

关于python的面试题

Easy benchmarking of all publicly accessible implementations of convnets

Learning tensorflow by just one example for beginners

A Flexible and Powerful Parameter Server for large-scale machine learning

Protocol Buffers - Google's data interchange format

GitHub's Online Schema Migrations for MySQL

LR、FM、FFM model solved by ftrl and sgd parallel on MPI

qihoo360 xlearning with GPU support; AI on Hadoop

No description provided.

AI on Hadoop

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Use full ES2015+ features to develop Node.js applications, Support TypeScript.

No description provided.

RePlugin - A flexible, stable, easy-to-use Android Plug-in Framework

Running MPICH2 on Yarn

TensorFlow template application for deep learning

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

A CUDA implementation of the k-means clustering algorithm

Computation using data flow graphs for scalable machine learning

No description provided.

An example of data parallelism and async updates of parameter in tensorflow.

No description provided.