DD-VAR's repositories
AdversarialNetsPapers
The classical Papers and codes about adversarial nets
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
DD-VAR
Config files for my GitHub profile.
DecoupledFPN
a detection network use DecoupledNet DeformableNet CliqueNet ScaleFPN Attention
deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
deeplearningbook-chinese
Deep Learning Book Chinese Translation
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Deformable-ConvNets
Deformable Convolutional Networks
DSH_tensorflow
implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016
EBGAN-CelebA
Pytorch implementation of Energy Based GAN for CelebA dataset
EBGAN_pytorch
Implementation of EBGAN in pytorch
GAN-Sandbox
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
GAN-weight-norm
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
GANotebooks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Interview-Notebook
:calendar: 准备秋招学习笔记
ituring_books
图灵程序设计丛书分享
Obj_Det_Progress_Tracker
Object Detection Progress Tracker
object_detection_with_tensorflow
object detection app based on tensorflow api
Paper-Implementations
Use PyTorch to implement some classic frameworks
pytorch-MNIST-CelebA-cGAN-cDCGAN
Pytorch implementation conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
really-awesome-gan
A list of papers on General Adversarial (Neural) Networks
SNIPER
SNIPER is an efficient multi-scale object detection algorithm
tensorflow
Computation using data flow graphs for scalable machine learning
zi2zi
Learning Chinese Character style with conditional GAN