Zhengchun Liu

matrix-cuda. matrix multiplication in CUDA

DSGAN. a GAN for precipitation downscaling

TomoGAN. A GAN based framework for artifacts and noise removal

deep-image-prior-tensorflow. an implementation of Deep Image Prior using tensorflow

BraggNN. Faster X-ray Bragg Peak Analysis with Deep Learning

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

TomoTx. Transformer is All You Need for Computed Tomography

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

self2denoise. An implementation of Noise2Self https://arxiv.org/abs/1901.11365

dn-tutorial. materials for scientific image denoise and artifacts removal

vehicle-evacuation. a CUDA implementation of vehicle evacuation model

Tomato-Timer-for-BlackBerry_OS10. a tomato timer application for blackberry os 10

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

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

BFTrainer-Log-Replayer. Python

b2r. Source code for article 'Efficient Large-scale Parallel Stencil Computation on Multi-Core and Multi-GPU Accelerated Clusters'