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yinxusen's Projects

aas icon aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

ansible icon ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications— automate in a language that approaches plain English, using SSH, with no agents to install on remote systems.

ansj_seg icon ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

autoplay icon autoplay

A learning environment for interactive fiction

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bi-att-flow icon bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bidmat icon bidmat

A CPU and GPU-accelerated matrix library for data mining

brainsuck icon brainsuck

A simple optimizing Brainfuck compiler (used as demo for my QCon Beijing 2015 talk)

breeze icon breeze

Breeze is a library for numerical processing, machine learning, and natural language processing. Its primary focus is on being generic, clean, and powerful without sacrificing (much) efficiency. Breeze is the merger of the ScalaNLP and Scalala projects, because one of the original maintainers is unable to continue development. The Scalala parts are largely rewritten.

carmel icon carmel

finite-state toolkit, EM and Bayesian (Gibbs sampling) training for FST and context-free derivation forests

chalk-1 icon chalk-1

Chalk is a natural language processing library.

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepword icon deepword

reinforcement learning for text-based games

dpark icon dpark

Python clone of Spark, a MapReduce alike framework in Python

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