Pinned Repositories
Caustic-Design
CNN_surround_effects_visualization
Computational-Neuroscience-Class
Computational Neuroscience course at UM
dcgan.torch
A torch implementation of http://arxiv.org/abs/1511.06434
deep-image-prior
Image restoration with neural networks but without learning.
Deep-Learning
DeepNetAndBrain
Find similarity between deep learning and brain on texture type inputs.
exercise
exercise for nndl
grating-stimuli
Sinusoidal grating (disc and annular) with a Gaussian mask for visual experiments.
GSM_lib
xup5's Repositories
xup5/Caustic-Design
xup5/CNN_surround_effects_visualization
xup5/Computational-Neuroscience-Class
Computational Neuroscience course at UM
xup5/dcgan.torch
A torch implementation of http://arxiv.org/abs/1511.06434
xup5/deep-image-prior
Image restoration with neural networks but without learning.
xup5/Deep-Learning
xup5/DeepNetAndBrain
Find similarity between deep learning and brain on texture type inputs.
xup5/exercise
exercise for nndl
xup5/grating-stimuli
Sinusoidal grating (disc and annular) with a Gaussian mask for visual experiments.
xup5/GSM_lib
xup5/ImageNet_ResNet_Tensorflow2.0
Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码
xup5/imgclsmob
Sandbox for training deep learning networks
xup5/neuralpredictors
Machine Learning Utils of Sinzlab. Main uses some python 3.8 features, which is not convenient for google colab. This fork omits all the python 3.8 features.
xup5/nnfabrik
A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models. Main uses some python 3.8 features, which is not convenient for google colab. This fork omits all the python 3.8 features.
xup5/personal_website_academic
xup5/programing_languages
example code for the programing languages course at UM
xup5/sensorium
Code base for the SENSORIUM competition.
xup5/TiffTraversaler
An ImageJ macro to run a macro on tiff files in all subfolders.
xup5/TinyCircuits-Thumby-Games
xup5/VGGNet-Tensorflow
VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x