Zhengchun Liu (lzhengchun)

lzhengchun

Geek Repo

Company:Amazon

Location:Bay Area, USA

Home Page:https://lzhengchun.github.io

Twitter:@lzhengchun

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Zhengchun Liu's repositories

matrix-cuda

matrix multiplication in CUDA

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TomoGAN

A GAN based framework for artifacts and noise removal

DSGAN

a GAN for precipitation downscaling

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deep-image-prior-tensorflow

an implementation of Deep Image Prior using tensorflow

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BraggNN

Faster X-ray Bragg Peak Analysis with Deep Learning

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a-simple-neural-network-on-spark

A simple implementation of an artificial neural network based with Apache Spark and python. this is another implementation of my toy program https://github.com/lzhengchun/step-by-step-neural-network

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step-by-step-neural-network

step-by-step, implement a neural network with python and numpy to recognize handwritten number

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TomoTx

Transformer is All You Need for Computed Tomography

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self2denoise

An implementation of Noise2Self https://arxiv.org/abs/1901.11365

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dn-tutorial

materials for scientific image denoise and artifacts removal

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Tomato-Timer-for-BlackBerry_OS10

a tomato timer application for blackberry os 10

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vehicle-evacuation

a CUDA implementation of vehicle evacuation model

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b2r

Source code for article 'Efficient Large-scale Parallel Stencil Computation on Multi-Core and Multi-GPU Accelerated Clusters'

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home-IOT-via-raspberry-pi

a simple IoT, response for room temperature, humidity measuring and web based visualization via raspberry pi

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matrix-operations

some common used matrix operations (for artificial neural network model)

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edgeHEDM

HEDM on the edge near data source

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libai

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

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lzhengchun.github.io

Academic HomePage of Zhengchun Liu

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nnTrainFlow

demo of workflows for rapid NN training using remote data center AI systems

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optimization

a collection/implementation of optimization methods

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setup-ipsec-vpn

Scripts to build your own IPsec VPN server, with IPsec/L2TP and Cisco IPsec on Ubuntu, Debian and CentOS

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TomoGAN-DNNL

TomoGAN implementation using Intel DNNL

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