sunzhe839's repositories
BMW-Labeltool-Lite
This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.
Colorization
deep exemplar colorization
Matlab_deep_learning
《Matlab计算机视觉与深度学习实战》代码
Auto_painter_demo
The code of building a web demo for Auto_painter
tensorfusion_EEG_NIRS
Python A novel multimodal approach for hybridbrain-computer interface
wnd-charm
A generalized pattern recognition system for images developed by the Goldberg group at the NIH/NIA.
SegCaps
Official Implementation of the Paper "Capsules for Object Segmentation".
PRML
PRML algorithms implemented in Python
gpu_stereo_image_proc
Stereo and image rectification and disparity processing with NVIDIA VisionWorks and fixstars libSGM
bmtk
Brain Modeling Toolkit
bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
siggraphasia2019_remastering
Code for the paper "DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement". http://iizuka.cs.tsukuba.ac.jp/projects/remastering/
TobiiGlasses_matlabAPI
Matlab scripts using Tobii Pro 2 Glasses API for running psychology experiments
IKC
Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
cereb-nest
Module for NEST simulator developed in the Project CerebNEST, aiming to recreate and simulate in NEST realistic cerebellar-inspired models.
nest-simulator
The NEST simulator
PySNN
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
compsensing_dip
Compressed sensing with deep image prior algorithm
python-neo
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Spiking_Motion
Matlab code for a Spiking Neural Network for Visual Motion Estimation
slayerPytorch
PyTorch implementation of SLAYER for training Spiking Neural Networks
WBLEC_toolbox
(version 2018) Toolbox for estimation and interpretation of whole-brain linear effective connectivity
spytorch
Tutorial for surrogate gradient learning in spiking neural networks
x264_saliency_mod
A fork of x264 video encoder supporting custom saliency maps as an additional input to improve quality of salient objects.
SNU_Chainer
Spiking Neural Unit (SNU) implemented with Chainer
image-compression
There are some papers about image compression