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dann-1

reproduction of DANN transfer from mnist to mnist_m

dann-2

PyTorch implementation, Unsupervised Domain Adaptation by Backpropagation

dann-keras

A simple implementation of domain adversarial training with GAN loss in Keras

dann-mnist

这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码，并完成了MNIST与MNIST-M数据集迁移，master和tf2分支代码为是基于tf2.x，tf1分支代码基于tf1.x

dann_py3

python 3 pytorch implementation of DANN

dann_tf2.0

DANN in TensorFlow 2.0

darknet

Convolutional Neural Networks

dataset

Open RadioML Synthetic Benchmark Dataset

dataset-generation-for-dl-based-spectrum-sensing

*Source code for dataset generation of paper "Spectrum Sensing in Cognitive Radio: A Deep Learning Based Model" *our dataset generation source is based on the method in "T. O’Shea and N. West, “Radio machine learning dataset generation with gnu radio,” in Proc. GNU Radio Conference (GRCon16), vol. 1, 2016."(https://github.com/radioML/dataset).

dcrnet

The offical repo for the paper entitled "Dilated Convolution based CSI Feedback Compression for Massive MIMO System".

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-models

Keras code and weights files for popular deep learning models.

deep_complex_networks

Implementation related to the Deep Complex Networks

deepcomplexcrn

Paper: DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

deeplearning

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

dl-dsc-fdd-massive-mimo

Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO.

dl_ofdm

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

dm-tfd

supplements of DM-TFD（Paper：A Data-Driven High-Resolution Time-Frequency Distribution）

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dnn-doa

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

dqn

This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.

drcn

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation（有源码，2016）

drcn_tf

drl

Deep Reinforcement Learning

ds-nlcsinet

DS-NLCsiNet Network for CSI Feedback

edgeyolo

an edge-real-time anchor-free object detector with decent performance

emev-channle-identification