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liaoyubinai's Projects

alphago icon alphago

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

angel icon angel

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

autofis icon autofis

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

deep_q_rl icon deep_q_rl

Theano-based implementation of Deep Q-learning

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepqlearning icon deepqlearning

A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.

dstn icon dstn

Deep Spatio-Temporal Neural Network (DSTN)

embedx icon embedx

embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

feature-engineering-book icon feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

ftrlp icon ftrlp

Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm

gcforest icon gcforest

Python implementation of deep forest method : gcForest

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