DD-VAR

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

deep-supervised-hashing-DSH

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

LSGAN_TF

Simple implementation of Least Squares Generative Adversarial Networks

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

vnpy

基于Python的开源量化交易平台开发框架

WassersteinGAN

zi2zi

Learning Chinese Character style with conditional GAN