wzhangneu Goto Github PK

gtc2017-numba

Numba tutorial for GTC 2017 conference

gyrfalcon-ct-simulation-and-reconstruction

Gyrfalcon is a stand-alone Matlab application that is capable of simulating a variety of CT scan types (pencil beam, fan beam, cone beam), importing raw scan data, and reconstructing the data produced by simulations or real scans using a variety of methods.

haarpsi

The Haar wavelet-based perceptual similarity index (HaarPSI) is a similarity measure for images that aims to correctly assess the perceptual similarity between two images with respect to a human viewer.

hand3d

Network estimating 3D Handpose from single color images

hello

Web programming

imap-tv2-ct-sinogram-prepocessing

南方医科大-马健华团队Robust Low-dose CT Sinogram Prepocessing via Exploiting Noise-generating Mechanism

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

improving-deep-neural-networks

Improving-Deep-Neural-Networks

in-silico-labeling

Code for In silico labeling: Predicting fluorescent labels in unlabeled images

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

jetbot

An educational AI robot based on NVIDIA Jetson Nano.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-adversarial-autoencoders

Experiments with Adversarial Autoencoders using Keras

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-rl

Deep Reinforcement Learning for Keras.

ksaerecon

TMI paper "Iterative low-dose CT reconstruction with priors trained by neural networks".

learn_prox_ops

Implementation of Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

learned_gradient_tomography

Solving ill-posed inverse problems using iterative deep neural networks

learned_primal_dual

Learned Primal-Dual Reconstruction

learning-to-decode-7t-like-mr-image-reconstruction-from-3t-mr-images

learnopencv

Learn OpenCV : C++ and Python Examples

lightfields.jl

This julia package provides a novel technique for Sparse Light Field Reconstruction using the Shearlet Transform.

low-dose-ct-with-a-residual-encoder-decoder-convolutional-neural-network

low_dose_ct

Deep Convolutional Framelet Denoising for Low-Dose CT via Wavelet Residual Network

lr-gan.pytorch

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

lstm

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

matconvnet

MatConvNet: CNNs for MATLAB

matlab

MATLAB scripts and functions. At the moment this repository is foremost dedicated to the reconstruction of tomographic data acquired at the Imaging Beamline (IBL) at P05 of PETRA III at DESY. File structure is currently a big mess.

maxiv-course-oct-17

Course material for/from the ODL course at MAX IV, Oct 17