DD-VAR's repositories
DD-VAR
Config files for my GitHub profile.
vnpy
基于Python的开源量化交易平台开发框架
ituring_books
图灵程序设计丛书分享
SNIPER
SNIPER is an efficient multi-scale object detection algorithm
Interview-Notebook
:calendar: 准备秋招学习笔记
DecoupledFPN
a detection network use DecoupledNet DeformableNet CliqueNet ScaleFPN Attention
Deformable-ConvNets
Deformable Convolutional Networks
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Obj_Det_Progress_Tracker
Object Detection Progress Tracker
object_detection_with_tensorflow
object detection app based on tensorflow api
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
DSH_tensorflow
implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016
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.
GANotebooks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
zi2zi
Learning Chinese Character style with conditional GAN
GAN-weight-norm
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
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.
Paper-Implementations
Use PyTorch to implement some classic frameworks
EBGAN-CelebA
Pytorch implementation of Energy Based GAN for CelebA dataset
tensorflow
Computation using data flow graphs for scalable machine learning
really-awesome-gan
A list of papers on General Adversarial (Neural) Networks
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
AdversarialNetsPapers
The classical Papers and codes about adversarial nets
EBGAN_pytorch
Implementation of EBGAN in pytorch
deeplearningbook-chinese
Deep Learning Book Chinese Translation
LSGAN_TF
Simple implementation of Least Squares Generative Adversarial Networks