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anime-gan-tensorflow

The BIGGAN based Anime generation implemented with tensorflow. All training data has been open sourced.

awesome-latex-drawing

Drawing Bayesian networks, graphical models and framework with LaTeX.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

biggan-pytorch

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

biggan-pytorch-1

The author's officially unofficial PyTorch BigGAN implementation.

biggan-tensorflow

Simple Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)

bold5000-scripts

BOLD5000: Brain, Object, Landscape Dataset

bold5000_autoencoder

autoencoder trained on BOLD5000 dataset

brain_language_nlp

bravl

Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"

cadena2019ploscb

Code for Cadena, S. A, et al. (2019). Deep convolutional models improve predictions of macaque V1 responses to natural images. Plos Computational Biology

changdedu.github.io

chromium

Chromium browser with SSL VPN. Use this browser to unblock websites.

clipasso

compare_gan

Compare GAN code.

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-notes

Experiments with Deep Learning

deepface

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

deepimagereconstruction

Data and demo codes for Shen, Horikawa, Majima, and Kamitani, "Deep image reconstruction from human brain activity".

deeplabv3-tensorflow

使用deeplab_v3模型对遥感图像进行分割

deepnsd

Code for the deep neural network modeling of a large-scale fMRI dataset.

dgmm

Deep Generative Multi-view Model (DGMM)

distributedcodingbrain

Code for my paper "Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain" (under review)

dls-example

Introduction of usage deep learning service of huawei cloud

dnn2brain-function

An approach to find functional roles of brain regions using Deep Neural Networks

domain-adaptation-toolbox

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

eeg_encoding

Using DNNs to build encoding models of EEG visual responses.

embanded

end2enddeepimagereconstruction