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lizhangzhan

Discovered public repositories for lizhangzhan in the GitHub catalog.

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lizhangzhan/clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

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lizhangzhan/tmux

Clone of the tmux Git repository. The master branch contains the latest unreleased code. There are topic branches which may be subject to rebasing, so don't base changes off them. DO NOT SEND me pull-requests, send patches to tmux-users mailing list instead.

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lizhangzhan/keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

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lizhangzhan/svmjs

Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo

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lizhangzhan/convnetjs

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

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lizhangzhan/forestjs

Random Forest implementation for JavaScript. Supports arbitrary weak learners. Includes interactive demo.

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lizhangzhan/lda-svi

an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference

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lizhangzhan/PyLDA

A Latent Dirichlet Allocation implementation in Python. Learning of LDA is based on Variational Inference.

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lizhangzhan/Crepe

Text classification from character-level using convolution networks

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