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dann

Domain Adversarial Neural Networks (DANN) in Keras

dann-keras

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

darknet

Useful functionalities added on the original darknet public repository.

darknet-1

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

datamining

数据分析与挖掘

dataminingproject

包含一些比较常见的数据挖掘竞赛或者项目的源码

da_detection

Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

ddan

Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deepdeblur_release

Deep Multi-scale CNN for Dynamic Scene Deblurring

deepinterests

深度有趣

deeplearning

深度学习神经网络构建源码。

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

edge_brain

efficientdnns

Collection of recent methods on DNN compression and acceleration

fault_diagnosis_ballbearing_wavelet

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

file_backup

firstproject

my first project

flink-learning

flink learning blog. http://www.54tianzhisheng.cn

flink-training-exercises

fucking-algorithm

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.

gitstudy

google-cloud

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

image-compression

There are some papers about image compression

image-compression-cnn

Semantic JPEG image compression using deep convolutional neural network (CNN)

image_compression_bentchmark

Image compression challenge, benchmark for KODAK, CLIC dataset

imgaug

Image augmentation for machine learning experiments.

imgcomp2

mutli scale learned dictinaries image compression