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Domain Adversarial Neural Networks (DANN) in Keras
A simple implementation of domain adversarial training with GAN loss in Keras
Useful functionalities added on the original darknet public repository.
darknet深度学习框架源码分析:详细中文注释,涵盖框架原理与实现语法分析
数据分析与挖掘
包含一些比较常见的数据挖掘竞赛或者项目的源码
Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"
Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
深度学习论文翻译,包括分类论文,检测论文等
Deep Multi-scale CNN for Dynamic Scene Deblurring
深度有趣
深度学习神经网络构建源码。
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Collection of recent methods on DNN compression and acceleration
Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity
my first project
flink learning blog. http://www.54tianzhisheng.cn
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
There are some papers about image compression
Semantic JPEG image compression using deep convolutional neural network (CNN)
Image compression challenge, benchmark for KODAK, CLIC dataset
Image augmentation for machine learning experiments.
mutli scale learned dictinaries image compression
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.