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reproduction of DANN transfer from mnist to mnist_m
PyTorch implementation, Unsupervised Domain Adaptation by Backpropagation
A simple implementation of domain adversarial training with GAN loss in Keras
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
python 3 pytorch implementation of DANN
DANN in TensorFlow 2.0
Convolutional Neural Networks
Open RadioML Synthetic Benchmark Dataset
*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).
The offical repo for the paper entitled "Dilated Convolution based CSI Feedback Compression for Massive MIMO System".
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)
Keras code and weights files for popular deep learning models.
Implementation related to the Deep Complex Networks
Paper: DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement
The deeplearning algorithms implemented by tensorflow
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO.
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
supplements of DM-TFD(Paper:A Data-Driven High-Resolution Time-Frequency Distribution)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation(有源码,2016)
Deep Reinforcement Learning
DS-NLCsiNet Network for CSI Feedback
an edge-real-time anchor-free object detector with decent performance
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.